42 - Scientific, technological and industrial services, research and design
Goods & Services
Computer programming; software as a service (SaaS) services
featuring software for data management; software as a
service (SaaS) services featuring software for cloud
computing; software as a service (SaaS) services featuring
software for artificial intelligence; software as a service
(SaaS) services featuring software for cognitive computing;
software as a service (SaaS) services featuring software for
blockchain technology; software as a service (SaaS) services
featuring software for quantum computing and quantum
programming; software as a service (SaaS) services featuring
software for constructing, analyzing and running quantum
programs and quantum algorithms; software as a service
(SaaS) services featuring software for developing and
testing quantum algorithms; platform as a service [PaaS]
services featuring software for data management; platform as
a service [PaaS] services featuring software for cloud
computing; platform as a service [PaaS] services featuring
software for artificial intelligence; platform as a service
[PaaS] services featuring software for cognitive computing;
platform as a service [PaaS] services featuring software for
blockchain technology; platform as a service [PaaS] services
featuring software for quantum computing and quantum
programming; platform as a service [PaaS] services featuring
software for constructing, analyzing and running quantum
programs and quantum algorithms; platform as a service
[PaaS] services featuring software for developing and
testing quantum algorithms; infrastructure as a service
(IaaS) services featuring software for data management;
infrastructure as a service (IaaS) services featuring
software for cloud computing; infrastructure as a service
(IaaS) services featuring software for artificial
intelligence; infrastructure as a service (IaaS) services
featuring software for cognitive computing; infrastructure
as a service (IaaS) services featuring software for
blockchain technology; infrastructure as a service (IaaS)
services featuring software for quantum computing and
quantum programming; infrastructure as a service (IaaS)
services featuring software for constructing, analyzing and
running quantum programs and quantum algorithms;
infrastructure as a service (IaaS) services featuring
software for developing and testing quantum algorithms;
computer programming services and computer consulting
services on artificial intelligence; computer programming
services and computer consulting services on cognitive
computing; computer programming services and computer
consulting services on information management; computer
programming services and computer consulting services on
data management; computer programming services and computer
consulting services on cloud computing; computer programming
services and computer consulting services on blockchain
technology; computer programming services and computer
consulting services on quantum computing; computer
programming services and computer consulting services on
software as a service (SaaS); computer programming services
and computer consulting services on infrastructure as a
service (IaaS); computer programming services and computer
consulting services on platform as a service [PaaS]; design,
installation, updating and maintenance of computer software;
computer software and hardware design for others, and
consulting services in the field of computers; computer
services, namely, designing, creating and maintaining
websites for others; computer system analysis, data base and
network integration, computer programming for others, all
for use in commercial interactions over global computer
networks; technical support services, namely,
troubleshooting of computer programs and software problems;
design of systems for interconnection of computer hardware
and software, namely, electronic interconnection of
computers and software; computer software and hardware
testing services (quality and technical controls); technical
project studies in the field of computer hardware and
software; consultancy services in the field of computer
hardware, namely consultancy regarding computing research
and development; support and consulting services relating to
internet use; rental of computers and computer software;
scientific and industrial research, namely research and
development of new products, biological research,
bacteriological research, chemical research, research in
beauty care, mechanical research, geological research,
technical research, pharmaceutical research, scientific
research for medical purposes; information technology
services; computer system integration services; consulting
services in the field of design, selection, implementation
and use of computer hardware and software systems for
others; technical support services, namely, troubleshooting
in the nature of diagnosing computer hardware and software
problems; computer system design services for others;
interconnection of computer hardware and software, namely,
integration of computer systems and networks; computer
software and hardware testing services, namely, testing of
computer software, computers and servers to ensure proper
functioning; cloud computing services, namely, integrated
computer hardware and network software services for dynamic
provisioning, virtualization, and consumption metering of
computer resources; providing virtual computer systems and
virtual computer environments through cloud computing;
design and development of computer software for cloud
storage of data; cloud hosting provider services; electronic
data storage and data recovery services; data security
services; computer assistance provided by programmers;
design of computer hardware for computer networks;
artificial intelligence as a service (AIaaS); information
technology consulting services; customization and
configuration of computer software and hardware; technical
consulting services related to networking; managed
information technology services and information technology
management operations for others, namely, management of
virtual infrastructure, computer network configuration and
computer data storage services; hosting, managing and
administering (maintenance) computer software for others;
providing temporary use of non-downloadable computer
software for managing, testing, and using multiple operating
systems; providing temporary use of non-downloadable
computer software for managing virtual computing
infrastructure, network management and storage; providing
temporary use of non-downloadable computer software for
creating and maintaining scalable cloud computing
applications; leasing and rental of computer software;
technical support services, namely, trouble shooting of
computer software and computer hardware; technical
consulting services related to virtual infrastructure.
A computer-implemented method including: connecting, by a computing device, to an access point of a wireless network which is being used by a skimmer device; processing, by the computing device, information of a financial card obtained from an electronic processing terminal received through the access point; creating, by the computing device, fake information of the financial card; and sending, by the computing device, the fake information to the skimmer device through the access point.
G06Q 20/40 - Authorisation, e.g. identification of payer or payee, verification of customer or shop credentialsReview and approval of payers, e.g. check of credit lines or negative lists
G07F 19/00 - Complete banking systemsCoded card-freed arrangements adapted for dispensing or receiving monies or the like and posting such transactions to existing accounts, e.g. automatic teller machines
3.
Optimal technique for building indexes on databases
Embodiments relate to an optimal technique for building indexes on databases. Aspects include receiving a request to build a new index for a column in a table, determining that an existing index includes the column requested in the request, and extracting the record identifiers associated with the column from the existing index. Aspects include building the new index as a data structure comprising the record identifiers extracted from the existing index without parsing the table.
Embodiments relate to providing automatic development of enhanced artificial prompts for artificial intelligence (AI) engines. Aspects include receiving a user prompt and using, natural language processing, to identify at least one intent in the user prompt and at least one entity in the user prompt. Aspects include enhancing the at least one entity with enhancements and inputting the user prompt, the at least one intent, the at least one entity, and the enhancements into an internal language model in order to output artificial prompts. The artificial prompts are presented in order to receive a selected artificial prompt of the artificial prompts, the selected artificial prompt being configured for input to the AI engine.
A computer-implemented method for grouping one or more features of a first set of data associated with a customer into one or more sets of opportunity groups based on a feature evaluation using a first machine learning model; identifying a subset of the one or more sets of opportunity groups that meets at least one objective associated with the customer; and identifying one or more candidate services within the subset that exceed a correlation threshold for the one or more sets of opportunity groups based on the one or more features.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Software as a Service (SaaS) services featuring software for cloud computing; Software as a Service (SaaS) services featuring software for artificial intelligence; Software as a Service (SaaS) services featuring software for cognitive computing; Software as a Service (SaaS) services featuring software for blockchain technology; Software as a Service (SaaS) services featuring software for quantum computing and quantum programming; Software as a Service (SaaS) services featuring software for constructing, analyzing and running quantum programs and quantum algorithms; Software as a Service (SaaS) services featuring software for developing and testing quantum algorithms; computer Platform as a Service (PaaS) featuring software for cloud computing; computer Platform as a Service (PaaS) featuring software for artificial intelligence; computer Platform as a Service (PaaS) featuring software for cognitive computing; computer Platform as a Service (PaaS) featuring software for blockchain technology; computer Platform as a Service [PaaS] featuring software for quantum computing and quantum programming; computer Platform as a Service (PaaS) featuring software for constructing, analyzing and running quantum programs and quantum algorithms; computer Platform as a Service (PaaS) featuring software for developing and testing quantum algorithms; Infrastructure as a Service (IaaS) featuring software for cloud computing; Infrastructure as a Service (IaaS) featuring software for artificial intelligence; Infrastructure as a Service (IaaS) featuring software for cognitive computing; Infrastructure as a Service (IaaS) featuring software for blockchain technology; Infrastructure as a Service (IaaS) featuring software for quantum computing and quantum programming; Infrastructure as a Service (IaaS) featuring software for constructing, analyzing and running quantum programs and quantum algorithms; Infrastructure as a Service (IaaS) featuring software for developing and testing quantum algorithms; computer programming and computer consulting services for artificial intelligence; computer programming and computer consulting services for cognitive computing; computer programming for information management; computer programming for data management; computer programming and computer consulting services for cloud computing; computer programming and computer consulting services for blockchain technology; computer programming and computer consulting services for quantum computing; computer programming and computer consulting services for software as a service (SaaS); computer programming and computer consulting services relating to an Infrastructure as a Service (IaaS); computer programming and computer consulting services relating to a computer Platform as a Service [PaaS]; design, installation, updating and maintenance of software; computer software and hardware design for third parties and consultation services in the field of computers; computer services, namely creation and maintenance for third parties; computer systems analysis, database and network integration, computer programming for third parties, all for use in commercial interactions over global computer networks; technical support services, namely, troubleshooting of computer program and software problems; design of systems for interconnection of computers and software, namely electronic connection of computers and software to each other; computer software and hardware testing services (quality and technical controls); technical project studies in the field of computer hardware and software; consultancy services in the field of computer hardware, namely consultancy regarding computing research and development; computer advice and assistance concerning Internet use; rental of computers and software; scientific and industrial research, namely biological research, bacteriological research, chemical research, cosmetic research, mechanical research, geological research, pharmaceutical research, scientific research for medical purposes; computer system integration services; consulting services in the field of design, selection, implementation and use of computer hardware and software systems for third parties; technical support services, namely diagnosing computer hardware and computer software problems; computer system design services for third parties; design of systems for interconnection of computers and computer programs, namely, integration of computer systems and computer networks; computer program and computer hardware testing services, namely testing of software, computers and servers to ensure proper functioning thereof; cloud computing services, namely network-integrated computer hardware and software services for dynamic provisioning, virtualization and consumption metering of computer resources; providing virtual computer systems and virtual computer environments through cloud computing; design and development of software for cloud storage of data; cloud computing hosting provider services; electronic data storage and data recovery services; data security service; computer support provided by programmers; design of computer hardware for computer networks; Artificial Intelligence as a Service (AIaaS); customization and configuration of computer software and hardware; technical consulting services relating to online networking; managed information technology services and information technology management operations for third parties, namely virtual infrastructure management, computer network configuration and computer data storage services; hosting, management and administration (maintenance) of computer software for third parties; providing temporary use of non-downloadable computer software for management, testing and use of multiple operating systems; providing temporary use of non-downloadable computer software for managing virtual computing infrastructure, for network and storage management; providing temporary use of non-downloadable computer software for creating and maintaining scalable cloud computing applications; technical support services, namely, troubleshooting computer hardware problems; technical consulting services relating to virtual infrastructure; all of the foregoing services of Class 42 being in the field of information technology services; the aforementioned services of Class 42 excluding technical services with regard to shopper marketing, category management, and sales development; the aforementioned services of Class 42 excluding technical services with regard to development and programming of software to assist with coaching and mentoring.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Computer programming; Software as a Service (SaaS) services
featuring software for data management; Software as a
Service (SaaS) services featuring software for cloud
computing; Software as a Service (SaaS) services featuring
software for artificial intelligence; Software as a Service
(SaaS) services featuring software for cognitive computing;
Software as a Service (SaaS) services featuring software for
blockchain technology; Software as a Service (SaaS) services
featuring software for quantum computing and quantum
programming; Software as a Service (SaaS) services featuring
software for constructing, analyzing and running quantum
programs and quantum algorithms; Software as a Service
(SaaS) services featuring software for developing and
testing quantum algorithms; computer Platform as a Service
[PaaS] featuring software for data management; computer
Platform as a Service [PaaS] featuring software for cloud
computing; computer Platform as a Service [PaaS] featuring
software for artificial intelligence; computer Platform as a
Service [PaaS] featuring software for cognitive computing;
platform as a service [PaaS] comprising software for
blockchain technology; computer Platform as a Service [PaaS]
featuring software for quantum computing and quantum
programming; computer Platform as a Service [PaaS] featuring
software for constructing, analyzing and running quantum
programs and quantum algorithms; computer Platform as a
Service [PaaS] featuring software for developing and testing
quantum algorithms; Infrastructure as a Service (IaaS)
featuring software for data management; Infrastructure as a
Service (IaaS) featuring software for cloud computing;
Infrastructure as a Service (IaaS) featuring software for
artificial intelligence; Infrastructure as a Service (IaaS)
featuring software for cognitive computing; Infrastructure
as a Service (IaaS) featuring software for blockchain
technology; Infrastructure as a Service (IaaS) featuring
software for quantum computing and quantum programming;
Infrastructure as a Service (IaaS) featuring software for
constructing, analyzing and running quantum programs and
quantum algorithms; Infrastructure as a Service (IaaS)
featuring software for developing and testing quantum
algorithms; computer programming and computer consulting
services for artificial intelligence; computer programming
and computer consulting services for cognitive computing;
computer programming and computer consulting services for
information management; computer programming and computer
consulting services for data management; computer
programming and computer consulting services for cloud
computing; computer programming and computer consulting
services for blockchain technology; computer programming and
computer consulting services for quantum computing; computer
programming and computer consulting services for software as
a service (SaaS); computer programming and computer
consulting services relating to an Infrastructure as a
Service (IaaS); computer programming and computer consulting
services relating to a platform as a service [PaaS], design,
installation, updating and maintenance of software; computer
software and hardware design for third parties and
consultation services in the field of computers; computer
services, namely, website design, creation and maintenance
for third parties; computer systems analysis, database and
network integration, computer programming for third parties,
all for use in commercial interactions over global computer
networks; technical support services, namely,
troubleshooting of computer program and software problems;
design of systems for interconnection of computers and
software, namely, electronic connection of computers and
software to each other; computer software and hardware
testing services (quality and technical controls); technical
project studies in the field of computer hardware and
software; consultancy services in the field of computer
hardware, namely consultancy regarding computing research
and development; computer advice and assistance concerning
Internet use; rental of computers and software; scientific
and industrial research, namely research and development of
new products, biological research, bacteriological research,
chemical research, cosmetic research, mechanical research,
geological research, technical research, pharmaceutical
research, scientific research for medical purposes;
information technology services; computer system integration
services; consulting services in the field of design,
selection, implementation and use of computer hardware and
software systems for third parties; technical support
services, namely, diagnosing computer hardware and computer
software problems; computer system design services for third
parties; design of systems for interconnection of computers
and computer programs, namely, integration of computer
systems and computer networks; computer program and computer
hardware testing services, namely testing of software,
computers and servers to ensure proper functioning thereof;
cloud computing services, namely, network-integrated
computer hardware and software services for dynamic
provisioning, virtualization and consumption metering of
computer resources; providing virtual computer systems and
virtual computer environments through cloud computing;
design and development of software for cloud storage of
data; cloud computing hosting provider services; electronic
data storage and data recovery services; data security
service; computer support provided by programmers; design of
computer hardware for computer networks; Artificial
Intelligence as a Service (AIaaS).
Embodiments receive a change request for an environment from a first system, predict an impact of the change request of the second system using a first machine learning (ML) model and output an existing system prediction impact based on the predicted impact of the change request of the second system, predict the impact of the change request of at least one third system using a second ML model and output a dependent system prediction impact based on the predicted impact of the change request of the at least one third system, receive historical impact data associated with the change request from a knowledge base, generate an overall predictive score (OPS) based on the existing system prediction impact, the dependent system prediction impact, and the historical impact data, and send an approval decision output signal based on a third ML model which is trained on the OPS.
G06F 18/2413 - Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
G06Q 50/00 - Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
Embodiments receive at least one input; determine a parameter value of each virtual asset within a metaverse; render at least one virtual asset within the metaverse based on the at least one input and the determined parameter value; and visually display the at least one rendered virtual asset to the metaverse.
A computer-implemented method for receiving a first set of resource allocation data related to a first set of SRE tools and predicting a first state of a cloud environment based on the first set of resource allocation data. The method further includes switching the cloud environment to a second set of SRE tools based on the first state of the cloud environment. In embodiments, the method further includes receiving a second set of resource allocation data related to the second set of SRE tools and predicting a second state of the cloud environment based on the second set of resource allocation data. In embodiments, the method also includes switching the cloud environment to the first set of SRE tools based on the second state of the cloud environment.
Computer-implemented methods are directed to gap and compliance analysis for technical documents. Aspects include determining an assessment type for a technical document received from a user device. Aspects also include analyzing the technical document using a set of microguidelines associated with the assessment type. Aspects further include generating an alignment score using the set of microguidelines. Aspects also include generating a recommendation for the technical document based on the alignment score and the set of microguidelines. Aspects further include initiating a modification to the technical document based on the recommendation for the technical document.
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Programmation informatique; services de logiciel en tant que service (SaaS) comprenant des logiciels de gestion de données; services de logiciels en tant que service (SaaS) comprenant des logiciels pour l'informatique en nuage; services de logiciels en tant que service (SaaS) comprenant des logiciels pour l'intelligence artificielle; services de logiciels en tant que service (SaaS) comprenant des logiciels pour l'informatique cognitive; services de logiciels en tant que service (SaaS) comprenant des logiciels pour la technologie de chaîne de blocs; services de logiciels en tant que service (SaaS) comprenant des logiciels pour l'informatique quantique et la programmation quantique; services de logiciel en tant que service (SaaS) comprenant des logiciels pour la construction, l'analyse et l'exécution de programmes quantiques et d'algorithmes quantiques; services de logiciels en tant que service (SaaS) comprenant des logiciels pour développer et tester des algorithmes quantiques; plateforme informatique en tant que service [PaaS] comprenant des logiciels pour la gestion de données; plateforme informatique en tant que service [PaaS] comprenant des logiciels pour l'informatique en nuage (cloud computing); plateforme informatique en tant que service [PaaS] comprenant des logiciels pour l'intelligence artificielle; plateforme informatique en tant que service [PaaS] comprenant des logiciels pour l'informatique cognitive; plateforme informatique en tant que service [PaaS] comprenant t des logiciels pour la technologie de chaîne de blocs; plateforme informatique en tant que service [PaaS] comprenant des logiciels pour l'informatique quantique et la programmation quantique; plateforme informatique en tant que service [PaaS] comprenant des logiciels pour la construction, l'analyse et l'exécution de programmes quantiques et d'algorithmes quantiques; plateforme informatique en tant que service [PaaS] comprenant des logiciels pour développer et tester des algorithmes quantiques; infrastructure en tant que service (IaaS) comprenant des logiciels pour la gestion de données; infrastructure en tant que service (IaaS) comprenant des logiciels pour l'informatique en nuage (cloud computing); infrastructure en tant que service (IaaS) comprenant des logiciels pour l'intelligence artificielle; infrastructure en tant que service (IaaS) comprenant des logiciels pour l'informatique cognitive; infrastructure en tant que service (IaaS) comprenant des logiciels pour la technologie de chaîne de blocs; infrastructure en tant que service (IaaS) comprenant des logiciels pour l'informatique quantique et la programmation quantique; infrastructure en tant que service (IaaS) comprenant des logiciels pour la construction, l'analyse et l'exécution de programmes quantiques et d'algorithmes quantiques; infrastructure en tant que service (IaaS) comprenant des logiciels pour développer et tester des algorithmes quantiques; services de programmation informatique et de conseil informatique pour l'intelligence artificielle; services de programmation informatique et de conseil informatique pour l'informatique cognitive; services de programmation informatique et de conseil informatique de gestion de l'information; services de programmation informatique et conseil informatique pour la gestion des données; services de programmation informatique et de conseil informatique pour l'informatique en nuage (cloud computing); services de programmation informatique et de conseil informatique pour la technologie de chaîne de blocs; services de programmation informatique et de conseil informatique pour l'informatique quantique; services de programmation informatique et de conseil informatique pour les logiciels en tant que service (SaaS); services de programmation informatique et de conseil informatique relativement à une infrastructure en tant que service (IaaS); services de programmation informatique et de conseil informatique relativement à une plateforme informatique en tant que service [PaaS] conception, installation, mise à jour et entretien de logiciels; conception de logiciels et de matériels informatiques pour le compte de tiers, et services de conseils dans le domaine des ordinateurs; services informatiques, à savoir, conception, création et maintenance de sites Web pour le compte de tiers; analyse de systèmes informatiques, intégration de bases de données et de réseaux informatiques, programmation d'ordinateurs pour le compte de tiers toutes destinées à des interactions commerciales sur des réseaux informatiques mondiaux; services d'assistance technique, à savoir résolution de problèmes de programmes et logiciels informatiques; conception de systèmes d'interconnexion d'ordinateurs et de logiciels, à savoir, raccordement électronique d'ordinateurs et de logiciels entre eux; services de test de programme d'ordinateur (logiciel) et de matériel informatique (contrôle de qualité et contrôle technique); études de projets techniques dans le domaine du matériel informatique et des logiciels; conseils informatiques en matière de matériel informatique, à savoir conseils en matière de recherche et développement informatique; conseils et assistance informatiques concernant l'utilisation d'Internet; location d'ordinateurs et de logiciels; recherche scientifique et industrielle, à savoir recherche et développement de nouveaux produits, recherches biologiques, recherches en bactériologie, recherches en chimie, recherches en cosmétologie, recherche en mécanique, recherches géologiques, recherches techniques, recherche pharmaceutique, recherche scientifique à buts médicaux; services de technologies de l'information; services d'intégration de systèmes informatiques; services de conseil en matière de conception, sélection, implémentation et utilisation de systèmes d'ordinateurs et de logiciels pour des tiers; services d'assistance technique, à savoir diagnostic de problèmes de matériel informatique et de programmes d'ordinateurs; services de conception de systèmes informatiques pour des tiers; conception de systèmes d'interconnexion d'ordinateurs et de programmes d'ordinateurs, à savoir, intégration de systèmes informatiques et de réseaux informatiques; services de test de programmes d'ordinateurs et de matériel informatique, à savoir, test de logiciels, d'ordinateurs et de serveurs afin d'en assurer le bon fonctionnement; services pour l'informatique en nuage (cloud computing), à savoir services intégrés de matériel informatique et de logiciels réseau pour la fourniture dynamique, la virtualisation et la mesure de consommation de ressources informatiques; fourniture de systèmes informatiques virtuels et d'environnements informatiques virtuels par le biais de l'informatique en nuage; conception et développement de logiciels pour le stockage en nuage de données; services de fournisseurs d'hébergement en nuage informatique (cloud computing); services de stockage électronique de données et de récupération de données; service de sécurisation des données; assistance informatique fournie par des programmeurs; conception de matériel informatique pour réseaux informatiques; intelligence artificielle en tant que service (AIaaS).
42 - Scientific, technological and industrial services, research and design
Goods & Services
Computer programming; Software as a Service (SaaS) services featuring software for data management; Software as a Service (SaaS) services featuring software for cloud computing; Software as a Service (SaaS) services featuring software for artificial intelligence; Software as a Service (SaaS) services featuring software for cognitive computing; Software as a Service (SaaS) services featuring software for blockchain technology; Software as a Service (SaaS) services featuring software for quantum computing and quantum programming; Software as a Service (SaaS) services featuring software for constructing, analyzing and running quantum programs and quantum algorithms; Software as a Service (SaaS) services featuring software for developing and testing quantum algorithms; computer Platform as a Service [PaaS] featuring software for data management; computer Platform as a Service [PaaS] featuring software for cloud computing; computer Platform as a Service [PaaS] featuring software for artificial intelligence; computer Platform as a Service [PaaS] featuring software for cognitive computing; platform as a service [PaaS] comprising software for blockchain technology; computer Platform as a Service [PaaS] featuring software for quantum computing and quantum programming; computer Platform as a Service [PaaS] featuring software for constructing, analyzing and running quantum programs and quantum algorithms; computer Platform as a Service [PaaS] featuring software for developing and testing quantum algorithms; Infrastructure as a Service (IaaS) featuring software for data management; Infrastructure as a Service (IaaS) featuring software for cloud computing; Infrastructure as a Service (IaaS) featuring software for artificial intelligence; Infrastructure as a Service (IaaS) featuring software for cognitive computing; Infrastructure as a Service (IaaS) featuring software for blockchain technology; Infrastructure as a Service (IaaS) featuring software for quantum computing and quantum programming; Infrastructure as a Service (IaaS) featuring software for constructing, analyzing and running quantum programs and quantum algorithms; Infrastructure as a Service (IaaS) featuring software for developing and testing quantum algorithms; computer programming and computer consulting services for artificial intelligence; computer programming and computer consulting services for cognitive computing; computer programming and computer consulting services for information management; computer programming and computer consulting services for data management; computer programming and computer consulting services for cloud computing; computer programming and computer consulting services for blockchain technology; computer programming and computer consulting services for quantum computing; computer programming and computer consulting services for software as a service (SaaS); computer programming and computer consulting services relating to an Infrastructure as a Service (IaaS); computer programming and computer consulting services relating to a platform as a service [PaaS], design, installation, updating and maintenance of software; computer software and hardware design for third parties and consultation services in the field of computers; computer services, namely, website design, creation and maintenance for third parties; computer systems analysis, database and network integration, computer programming for third parties, all for use in commercial interactions over global computer networks; technical support services, namely, troubleshooting of computer program and software problems; design of systems for interconnection of computers and software, namely, electronic connection of computers and software to each other; computer software and hardware testing services (quality and technical controls); technical project studies in the field of computer hardware and software; consultancy services in the field of computer hardware, namely consultancy regarding computing research and development; computer advice and assistance concerning Internet use; rental of computers and software; scientific and industrial research, namely research and development of new products, biological research, bacteriological research, chemical research, cosmetic research, mechanical research, geological research, technical research, pharmaceutical research, scientific research for medical purposes; information technology services; computer system integration services; consulting services in the field of design, selection, implementation and use of computer hardware and software systems for third parties; technical support services, namely, diagnosing computer hardware and computer software problems; computer system design services for third parties; design of systems for interconnection of computers and computer programs, namely, integration of computer systems and computer networks; computer program and computer hardware testing services, namely testing of software, computers and servers to ensure proper functioning thereof; cloud computing services, namely, network-integrated computer hardware and software services for dynamic provisioning, virtualization and consumption metering of computer resources; providing virtual computer systems and virtual computer environments through cloud computing; design and development of software for cloud storage of data; cloud computing hosting provider services; electronic data storage and data recovery services; data security service; computer support provided by programmers; design of computer hardware for computer networks; Artificial Intelligence as a Service (AIaaS)
42 - Scientific, technological and industrial services, research and design
Goods & Services
Computer programming; Software as a Service (SaaS) services
featuring software for data management; Software as a
Service (SaaS) services featuring software for cloud
computing; Software as a Service (SaaS) services featuring
software for artificial intelligence; Software as a Service
(SaaS) services featuring software for cognitive computing;
Software as a Service (SaaS) services featuring software for
blockchain technology; Software as a Service (SaaS) services
featuring software for quantum computing and quantum
programming; Software as a Service (SaaS) services featuring
software for constructing, analyzing and running quantum
programs and quantum algorithms; Software as a Service
(SaaS) services featuring software for developing and
testing quantum algorithms; computer Platform as a Service
[PaaS] featuring software for data management; computer
Platform as a Service (PaaS) featuring software for cloud
computing; computer Platform as a Service [PaaS] featuring
software for artificial intelligence; computer Platform as a
Service [PaaS] featuring software for cognitive computing;
computer Platform as a Service [PaaS] featuring software for
blockchain technology; computer Platform as a Service [PaaS]
featuring software for quantum computing and quantum
programming; computer Platform as a Service [PaaS] featuring
software for constructing, analyzing and running quantum
programs and quantum algorithms; computer Platform as a
Service [PaaS] featuring software for developing and testing
quantum algorithms; Infrastructure as a Service (IaaS)
featuring software for data management; Infrastructure as a
Service (IaaS) featuring software for cloud computing;
Infrastructure as a Service (IaaS) featuring software for
artificial intelligence; Infrastructure as a Service (IaaS)
featuring software for cognitive computing; Infrastructure
as a Service (IaaS) featuring software for blockchain
technology; Infrastructure as a Service (IaaS) featuring
software for quantum computing and quantum programming;
Infrastructure as a Service (IaaS) featuring software for
constructing, analyzing and running quantum programs and
quantum algorithms; Infrastructure as a Service (IaaS)
featuring software for developing and testing quantum
algorithms; computer programming and computer consulting
services for artificial intelligence; computer programming
and computer consulting services for cognitive computing;
computer programming and computer consulting services for
information management; computer programming and computer
consulting services for data management; computer
programming and computer consulting services for cloud
computing; computer programming and computer consulting
services for blockchain technology; computer programming and
computer consulting services for quantum computing; computer
programming and computer consulting services for software as
a service (SaaS); computer programming and computer
consulting services relating to an Infrastructure as a
Service (IaaS); computer programming and computer consulting
services relating to a computer Platform as a Service
[PaaS]; design, installation, updating and maintenance of
software; computer software and hardware design for third
parties and consultation services in the field of computers;
computer services, namely, website design, creation and
maintenance for third parties; computer systems analysis,
database and network integration, computer programming for
third parties, all for use in commercial interactions over
global computer networks; technical support services,
namely, troubleshooting of computer program and software
problems; design of systems for interconnection of computers
and software, namely, electronic connection of computers and
software to each other; computer software and hardware
testing services (quality and technical controls); technical
project studies in the field of computer hardware and
software; consultancy services in the field of computer
hardware, namely consultancy regarding computing research
and development; computer advice and assistance concerning
Internet use; rental of computers and software; scientific
and industrial research, namely research and development of
new products, biological research, bacteriological research,
chemical research, cosmetic research, mechanical research,
geological research, technical research, pharmaceutical
research, scientific research for medical purposes;
information technology services; computer system integration
services; consulting services in the field of design,
selection, implementation and use of computer hardware and
software systems for third parties; technical support
services, namely, diagnosing computer hardware and computer
software problems; computer system design services for third
parties; design of systems for interconnection of computers
and computer programs, namely, integration of computer
systems and computer networks; computer program and computer
hardware testing services, namely testing of software,
computers and servers to ensure proper functioning thereof;
cloud computing services, namely, network-integrated
computer hardware and software services for dynamic
provisioning, virtualization and consumption metering of
computer resources; providing virtual computer systems and
virtual computer environments through cloud computing;
design and development of software for cloud storage of
data; cloud computing hosting provider services; electronic
data storage and data recovery services; data security
service; computer support provided by programmers; design of
computer hardware for computer networks; Artificial
Intelligence as a Service (AIaaS); information technology
consulting services; customization and configuration of
computer software and hardware; technical consulting
services relating to online networking; managed information
technology services and information technology management
operations for third parties, namely virtual infrastructure
management, computer network configuration and computer data
storage services; hosting, management and administration
(maintenance) of computer software for third parties;
providing temporary use of non-downloadable computer
software for management, testing and use of multiple
operating systems; providing temporary use of
non-downloadable computer software for managing virtual
computing infrastructure, for network and storage
management; providing temporary use of non-downloadable
computer software for creating and maintaining scalable
cloud computing applications; computer software rental and
lease with purchase option; technical support services,
namely, troubleshooting computer software and hardware
problems; technical consulting services relating to virtual
infrastructure.
15.
Carbon footprint reduction by quantifying and mitigating data waste
An application programming interface (API) analysis system includes a data network and an API Carbon Footprint Analyzer (ACFA). The data network is configured to receive a call from a remote to onboard an application programming interface (API) in the data network and to obtain the API corresponding to the call. The ACFA is configured to scan the API to determine actual payload attributes and to compare the actual payload attributes to expected payload attributes of the API to determine a payload difference. The ACFA calculates an amount of data wastage based on the payload difference and causes a modification to the data network to reduce the amount of data wastage.
A computer-implemented method includes: receiving, by a computing device, an input prompt; routing, by the computing device, the input prompt to one or more restructuring routes; restructuring, by the computing device, the input prompt to provide a restructured input prompt to reduce tokens; evaluating, by the computing device, the input prompt to the restructured input prompt to determine that thresholds are met; and sending, by the computing device, the restructured input prompt that meets the thresholds to a large language model.
An approach is described that enables the reception of multiple client requests directed to a mainframe computer system from various transaction origination points external to the mainframe. It involves computing time-based performance metrics, including transaction times from these origination points to the mainframe. By capturing and analyzing transaction times from diverse external sources, the system evaluates mainframe performance holistically, reflecting the complete duration of transactions from their initiation outside the mainframe to their processing completion within it. This approach provides comprehensive insights into transaction efficiency across different user environments, enhancing the system’s ability to measure, optimize, and maintain performance standards under varied operating conditions.
A method includes: collecting, by a computing device, input data related to an information technology infrastructure; performing, by the computing device, sequential analysis on the input data to derive an impact on an incident on the information technology infrastructure; and formulating, by the computer device, recovery solutions of the incident that maps to business parameters.
Embodiments relate to providing prompt recommendations for artificial intelligence (AI) engines. Aspects include determining that a received prompt is in a cluster, the cluster having a representative prompt and generating candidate prompts based on the representative prompt. Aspects include ranking the candidate prompts to determine a selected candidate prompt from the candidate prompts; and presenting the selected candidate prompt to be input for an AI engine.
Embodiments receive a plurality of code change inputs; determine that the plurality of code change inputs are similar to data in a first artificial intelligence (AI) model; classify the plurality of code change inputs using a second AI model; identify at least one pipeline stage that needs to be executed and at least one pipeline stage that does not need to be executed; determine that the identified at least one pipeline stage needs to be executed based on contextual data; execute the identified at least one pipeline stage that needs to be executed; and prevent execution of the identified at least one pipeline stage that does not need to be executed.
Computer-implemented methods for identifying and transferring operational controls of an autonomous vehicle to an external device are described herein. Aspects include receiving a pairing request from a user device, a user account being associated with the user device. Aspects also include receiving presence data from a physical input device in an autonomous vehicle indicating that a user is present in the autonomous vehicle. Aspects further include determining a permissions profile based on the user account and sensor data from the autonomous vehicle in response to receiving the presence data. The autonomous vehicle can include operational controls. Aspects also include identifying a subset of the operational controls of the autonomous vehicle available to the user device based on the user account and the permissions profile.
Computer-implemented methods for identifying and transferring operational controls of an autonomous vehicle to an external device are described herein. Aspects include receiving a pairing request from a user device, a user account being associated with the user device. Aspects also include receiving presence data from a physical input device in an autonomous vehicle indicating that a user is present in the autonomous vehicle. Aspects further include determining a permissions profile based on the user account and sensor data from the autonomous vehicle in response to receiving the presence data. The autonomous vehicle can include operational controls. Aspects also include identifying a subset of the operational controls of the autonomous vehicle available to the user device based on the user account and the permissions profile.
Aspects further include authorizing the user device to control the subset of the operational controls of the autonomous vehicle.
A computer-implemented method that receives a plurality of customer content and calculates a sentiment score and a weightage score for at least a subset of the plurality of customer content. The method may further include generating a customer score for one or more factors of a set of factors affecting customer satisfaction based on the sentiment score and the weightage score for at least the subset of the plurality of customer content. In embodiments, the method further determines an attrition risk score and a first ranked set of recommended action items for the one or more factors of the set of factors affecting customer satisfaction and notifies user of the attrition risk score and the first ranked set of recommended action items to be executed. The method may further perform a first action of the first ranked set of recommended action items.
Computer-implemented methods are directed to sustainability scoring and recommendation for application services. Aspects include receiving first data, second data, and third data. Aspects also include generating a set of environment-level sustainability scores for an application using the first data, the second data, and the third data. Aspects further include generating an application maturity score using the third data. Aspects also include generating an application sustainability score using the set of environment-level sustainability scores for the application and the application maturity score. Aspects further include generating a recommendation for the application based on the application sustainability score. Aspects also include initiating a modification to a datacenter of the application based on the recommendation for the application.
A method for managing document sharing includes accepting, using at least one processor, a search request through a search query input to a client device by a user, acquiring, using the at least one processor, for parts of a document stored in a document database, a relevance degree of the parts and the search query. An aspect includes determining, based on the relevance degree, the parts of the document that are shared part candidates, in which at least one of the shared part candidates is a target shared part. An aspect includes splitting, using the at least one processor, the target shared part from the document and saving the target shared part in a non-volatile memory area. An aspect includes administering, using the at least one processor, an access right to the target shared part to the user.
A computer-implemented method includes: obtaining, by a computing device, location information of a user attempting to gain access to a system; generating, by the computing device, a plurality of images from the location information, the plurality of images including at least one image representative of the location of the user; presenting, by the computing device, the plurality of images to the user; validating, by the computing device, the user by determining that the user has selected the at least one image representative of the location information of the user; and allowing, by the computer device, the user to access the system based on the user being validated.
G06F 21/57 - Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities
26.
MANAGEMENT OF PERMISSIONSS ON PROJECT BY PROJECT BASIS
Aspect of the disclosure include a computer-implemented method including: scanning, by a computing device, one or more sources on a predetermined schedule to obtain project information; extracting, by the computing device, project data from the project information, the project data including at least a user assigned to a task and a resource required to complete the task; determining, by the computing device, that the user has permission to access the resource associated with the task; and providing, by the computing device, the permission to the user to access the resource for a predetermined time period such that the user can gain access to the resource for the predetermined time period to work on the task.
Generating authentication security questions using generative AI includes receiving a request from a user to access a protected resource and generating the authentication security question based on knowledge about the user. The receipt of the request causes the authentication security question to be generated. The technique includes presenting the authentication security question to the user, and in response to a user answer for the authentication security question being correct, granting the user access to the protected resource.
Embodiments relate to providing an accuracy determination for generative AI engines, along with selection and execution of accurate generative AI engines. An aspect includes receiving a user prompt for execution and determining a characteristic of the user prompt. AI engines have a relationship to the characteristic. An aspect includes inputting the user prompt to at least one AI engine of the AI engines in accordance with the characteristic, such that a response is received from the at least one AI engine. An aspect includes presenting the response.
Embodiments receive a plurality of files from an external system; tag the plurality of files with a residency tag parameter; monitor a user which is attempting to send an email with an attached file of the files to a recipient; determine a recipient location of the recipient; determine that the recipient location of the recipient matches the residency tag parameter; and block transmission of the email with the attached file to the recipient in response to the recipient location of the recipient matching the residency tag parameter.
H04L 51/212 - Monitoring or handling of messages using filtering or selective blocking
H04L 51/08 - Annexed information, e.g. attachments
H04L 51/222 - Monitoring or handling of messages using geographical location information, e.g. messages transmitted or received in proximity of a certain spot or area
H04L 51/48 - Message addressing, e.g. address format or anonymous messages, aliases
30.
SMART DEPLOYMENT OF HONEYPOT ENVIRONMENT ON PERSONAL DEVICES
Embodiments relate to smart deployment of a honeypot environment on personal devices for security. An aspect includes receiving an authentication request to access a device and determining that the authentication request is to initiate a security system on the device. An aspect includes, in response to initiating the security system, executing an artificial environment, appearing as a real environment, for presentation on the device, wherein the artificial environment is presented to exclude sensitive information of the real environment.
A technique for predicting and recommending service offerings includes obtaining an initial dataset related to a user interaction with an online recommendation system during a user online session, generating a predicted intent of the user online session, and generating an initial set of recommendations based on the predicted intent of the user online session. The technique includes ranking the initial set of recommendations to generate a set of ranked recommendations, generating a predicted sequence of actions of the user, and determining that the ranked set of recommendations are to be re-ranked into a re-ranked set of recommendations. The technique includes generating a semantically customized ranked set of recommendations using at least one of the ranked set of recommendations or the re-ranked set of recommendations and providing the semantically customized ranked set of recommendations to the user.
A data governance system includes a signet template generator engine, a signet specification enforcement, and a pattern based signet controller. The signet template generator engine generates a signet template by applying at least one signet to raw data received from a data producer. The at least one signet is designated with a consent level and includes at least one data field designated with a consent identifier. The signet specification enforcement engine analyzes the consent level of the at least one signet and the consent identifier of the at least one data field, and outputs first filtered data based on the consent identifier of the at least one data field. The pattern based signet controller generates second filtered data based on the consent level of the at least one signet, and outputs a combination of the first filter data and the second filtered data as final data.
A method includes: receiving input from a user, the input defining a true personal identification number (PIN) associated with the user and at least one false PIN associated with the user; in response to the user initiating a transaction at an automated teller machine (ATM), determining whether a PIN associated with the transaction matches the true PIN associated with the user or the at least one false PIN associated with the user; and based on the determining, performing one of: in response to the PIN associated with the transaction matching the true PIN associated with the user, permitting the ATM to continue with the transaction; or in response to the PIN associated with the transaction matching the at least one false PIN associated with the user, causing the ATM to exhibit a simulated error that prevents the transaction.
G07F 19/00 - Complete banking systemsCoded card-freed arrangements adapted for dispensing or receiving monies or the like and posting such transactions to existing accounts, e.g. automatic teller machines
G06Q 20/40 - Authorisation, e.g. identification of payer or payee, verification of customer or shop credentialsReview and approval of payers, e.g. check of credit lines or negative lists
Embodiments receive a plurality of historical risk assessments and a plurality of quantum readiness levels; calculate a plurality of risk dimension metrics based on the plurality of historical risk assessments and the plurality of quantum readiness levels; calculate a plurality of risk assessment attributes dimension metrics based on the plurality of historical risk assessments and the plurality of quantum readiness levels; generate nearest neighbors nomination based on the calculated plurality of risk dimension metrics and the calculated plurality of risk assessment attributes dimension metrics; calculate a confidence of quality metric based on the generated nearest neighbors nomination; and determine that the confidence of quality metric is below a threshold; and execute a cryptography algorithm based on a determination that the confidence of quality metric is below the threshold.
G06F 21/57 - Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities
G06Q 10/0635 - Risk analysis of enterprise or organisation activities
35.
Safety compliance for maintenance and operations of critical systems
A method may include receiving a set of inputs; transforming the set of inputs into a set of corresponding waveforms; generating from the set of corresponding waveforms, a composite wave spectrum, including identifying a waveform sub-set corresponding to a time interval of the composite wave spectrum; determining based on a comparison of the waveform sub-set to a pattern repository, an anomaly exists within the waveform sub-set in response to determining the composite wave spectrum is an operational-type spectrum; analyzing the anomaly to determine an associated risk; logging based on the anomaly and the associated risk, an incident record; determining based on the anomaly, an approved change control exists; and executing the approved change control.
A computer-implemented method that receives first data inputs related to an entity and determines at least one service to sunset from a list of services related to the entity, based on the first data inputs. In embodiments the method may further generate recommendations comprising ranked services to add to the list of services related to the entity and determine at least one new competency as a candidate for upgrading at the entity, each based on the first data inputs. The method may further predict an overall impact to the entity based on sunsetting the at least one service, adding at least one service of the ranked services, and/or upgrading the at least one new competence at the entity. The method may further include notifying the entity of the prediction and performing at least one of a sunsetting or adding action.
Embodiments relate to providing event-driven dynamic prompt creation for enhanced generative artificial intelligence (AI) interactions. An aspect includes receiving a plurality of user data characterizing user behavior associated with an electronic device. An aspect includes generating a dynamic prompt based in part on a portion of the plurality of user data, inputting the dynamic prompt to an AI model to generate a response, and causing the response of the AI model to be presented on the electronic device.
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Programmation informatique; services de logiciel en tant que service (SaaS) comprenant des logiciels de gestion de données; services de logiciels en tant que service (SaaS) comprenant des logiciels pour l'informatique en nuage; services de logiciels en tant que service (SaaS) comprenant des logiciels pour l'intelligence artificielle; services de logiciels en tant que service (SaaS) comprenant des logiciels pour l'informatique cognitive; services de logiciels en tant que service (SaaS) comprenant des logiciels pour la technologie de chaîne de blocs; services de logiciels en tant que service (SaaS) comprenant des logiciels pour l'informatique quantique et la programmation quantique; services de logiciel en tant que service (SaaS) comprenant des logiciels pour la construction, l'analyse et l'exécution de programmes quantiques et d'algorithmes quantiques; services de logiciels en tant que service (SaaS) comprenant des logiciels pour développer et tester des algorithmes quantiques; plateforme informatique en tant que service [PaaS] comprenant des logiciels pour la gestion de données; plateforme informatique en tant que service [PaaS] comprenant des logiciels pour l'informatique en nuage (cloud computing); plateforme informatique en tant que service [PaaS] comprenant des logiciels pour l'intelligence artificielle; plateforme informatique en tant que service [PaaS] comprenant des logiciels pour l'informatique cognitive; plateforme informatique en tant que service [PaaS] comprenant des logiciels pour la technologie de chaîne de blocs; plateforme informatique en tant que service [PaaS] comprenant des logiciels pour l'informatique quantique et la programmation quantique; plateforme informatique en tant que service [PaaS] comprenant des logiciels pour la construction, l'analyse et l'exécution de programmes quantiques et d'algorithmes quantiques; plateforme informatique en tant que service [PaaS] comprenant des logiciels pour développer et tester des algorithmes quantiques; infrastructure en tant que service (IaaS) comprenant des logiciels pour la gestion de données; infrastructure en tant que service (IaaS) comprenant des logiciels pour l'informatique en nuage (cloud computing); infrastructure en tant que service (IaaS) comprenant des logiciels pour l'intelligence artificielle; infrastructure en tant que service (IaaS) comprenant des logiciels pour l'informatique cognitive; infrastructure en tant que service (IaaS) comprenant des logiciels pour la technologie de chaîne de blocs; infrastructure en tant que service (IaaS) comprenant des logiciels pour l'informatique quantique et la programmation quantique; infrastructure en tant que service (IaaS) comprenant des logiciels pour la construction, l'analyse et l'exécution de programmes quantiques et d'algorithmes quantiques; infrastructure en tant que service (IaaS) comprenant des logiciels pour développer et tester des algorithmes quantiques; services de programmation informatique et de conseil informatique pour l'intelligence artificielle; services de programmation informatique et de conseil informatique pour l'informatique cognitive; services de programmation informatique et de conseil informatique de gestion de l'information; services de programmation informatique et conseil informatique pour la gestion des données; services de programmation informatique et de conseil informatique pour l'informatique en nuage (cloud computing); services de programmation informatique et de conseil informatique pour la technologie de chaîne de blocs; services de programmation informatique et de conseil informatique pour l'informatique quantique; services de programmation informatique et de conseil informatique pour les logiciels en tant que service (SaaS); services de programmation informatique et de conseil informatique relativement à une infrastructure en tant que service (IaaS); services de programmation informatique et de conseil informatique relativement à une plateforme informatique en tant que service [PaaS]; conception, installation, mise à jour et entretien de logiciels; conception de logiciels et de matériels informatiques pour le compte de tiers, et services de conseils dans le domaine des ordinateurs; services informatiques, à savoir, conception, création et maintenance de sites Web pour le compte de tiers; analyse de systèmes informatiques, intégration de bases de données et de réseaux informatiques, programmation d'ordinateurs pour le compte de tiers toutes destinées à des interactions commerciales sur des réseaux informatiques mondiaux; services d'assistance technique, à savoir résolution de problèmes de programmes et logiciels informatiques; conception de systèmes d'interconnexion d'ordinateurs et de logiciels, à savoir, raccordement électronique d'ordinateurs et de logiciels entre eux; services de test de programme d'ordinateur (logiciel) et de matériel informatique (contrôle de qualité et contrôle technique); études de projets techniques dans le domaine du matériel informatique et des logiciels; conseils informatiques en matière de matériel informatique, à savoir conseils en matière de recherche et développement informatique; conseils et assistance informatiques concernant l'utilisation d'Internet; location d'ordinateurs et de logiciels; recherche scientifique et industrielle, à savoir recherche et développement de nouveaux produits, recherches biologiques, recherches en bactériologie, recherches en chimie, recherches en cosmétologie, recherche en mécanique, recherches géologiques, recherches techniques, recherche pharmaceutique, recherche scientifique à buts médicaux; services de technologies de l'information; services d'intégration de systèmes informatiques; services de conseil en matière de conception, sélection, implémentation et utilisation de systèmes d'ordinateurs et de logiciels pour des tiers; services d'assistance technique, à savoir diagnostic de problèmes de matériel informatique et de programmes d'ordinateurs; services de conception de systèmes informatiques pour des tiers; conception de systèmes d'interconnexion d'ordinateurs et de programmes d'ordinateurs, à savoir, intégration de systèmes informatiques et de réseaux informatiques; services de test de programmes d'ordinateurs et de matériel informatique, à savoir, test de logiciels, d'ordinateurs et de serveurs afin d'en assurer le bon fonctionnement; services pour l'informatique en nuage (cloud computing), à savoir services intégrés de matériel informatique et de logiciels réseau pour la fourniture dynamique, la virtualisation et la mesure de consommation de ressources informatiques; fourniture de systèmes informatiques virtuels et d'environnements informatiques virtuels par le biais de l'informatique en nuage; conception et développement de logiciels pour le stockage en nuage de données; services de fournisseurs d'hébergement en nuage informatique (cloud computing); services de stockage électronique de données et de récupération de données; service de sécurisation des données; assistance informatique fournie par des programmeurs; conception de matériel informatique pour réseaux informatiques; intelligence artificielle en tant que service (AIaaS); services de conseil en technologies de l'information; personnalisation et configuration de logiciels et de matériel informatique; services de conseil techniques relatifs au réseautage en ligne; services managés de technologie de l'information et opérations de gestion de technologie de l'information pour le compte de tiers, à savoir gestion d'infrastructures virtuelles, configuration de réseaux informatiques et services de stockage de données informatiques; hébergement, gestion et administration (maintenance) de logiciels informatiques pour le compte de tiers; fourniture d'utilisation temporaire de logiciels informatiques non téléchargeables pour la gestion, le test et l'utilisation de systèmes d'exploitation multiples; fourniture d'utilisation temporaire de logiciels informatiques non téléchargeables pour la gestion d'infrastructures informatiques virtuelles, pour la gestion du réseaux et du stockage; fourniture d'utilisation temporaire de logiciels informatiques non téléchargeables pour la création et la maintenance d'applications d'informatique en nuage évolutives; location et location-vente de logiciels informatiques; services d'assistance technique, à savoir dépannage de logiciels et de matériel informatique; services de conseil technique relatifs à l'infrastructure virtuelle.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Computer programming; Software as a Service (SaaS) services featuring software for data management; Software as a Service (SaaS) services featuring software for cloud computing; Software as a Service (SaaS) services featuring software for artificial intelligence; Software as a Service (SaaS) services featuring software for cognitive computing; Software as a Service (SaaS) services featuring software for blockchain technology; Software as a Service (SaaS) services featuring software for quantum computing and quantum programming; Software as a Service (SaaS) services featuring software for constructing, analyzing and running quantum programs and quantum algorithms; Software as a Service (SaaS) services featuring software for developing and testing quantum algorithms; computer Platform as a Service [PaaS] featuring software for data management; computer Platform as a Service (PaaS) featuring software for cloud computing; computer Platform as a Service [PaaS] featuring software for artificial intelligence; computer Platform as a Service [PaaS] featuring software for cognitive computing; computer Platform as a Service [PaaS] featuring software for blockchain technology; computer Platform as a Service [PaaS] featuring software for quantum computing and quantum programming; computer Platform as a Service [PaaS] featuring software for constructing, analyzing and running quantum programs and quantum algorithms; computer Platform as a Service [PaaS] featuring software for developing and testing quantum algorithms; Infrastructure as a Service (IaaS) featuring software for data management; Infrastructure as a Service (IaaS) featuring software for cloud computing; Infrastructure as a Service (IaaS) featuring software for artificial intelligence; Infrastructure as a Service (IaaS) featuring software for cognitive computing; Infrastructure as a Service (IaaS) featuring software for blockchain technology; Infrastructure as a Service (IaaS) featuring software for quantum computing and quantum programming; Infrastructure as a Service (IaaS) featuring software for constructing, analyzing and running quantum programs and quantum algorithms; Infrastructure as a Service (IaaS) featuring software for developing and testing quantum algorithms; computer programming and computer consulting services for artificial intelligence; computer programming and computer consulting services for cognitive computing; computer programming and computer consulting services for information management; computer programming and computer consulting services for data management; computer programming and computer consulting services for cloud computing; computer programming and computer consulting services for blockchain technology; computer programming and computer consulting services for quantum computing; computer programming and computer consulting services for software as a service (SaaS); computer programming and computer consulting services relating to an Infrastructure as a Service (IaaS); computer programming and computer consulting services relating to a computer Platform as a Service [PaaS]; design, installation, updating and maintenance of software; computer software and hardware design for third parties and consultation services in the field of computers; computer services, namely, website design, creation and maintenance for third parties; computer systems analysis, database and network integration, computer programming for third parties, all for use in commercial interactions over global computer networks; technical support services, namely, troubleshooting of computer program and software problems; design of systems for interconnection of computers and software, namely, electronic connection of computers and software to each other; computer software and hardware testing services (quality and technical controls); technical project studies in the field of computer hardware and software; consultancy services in the field of computer hardware, namely consultancy regarding computing research and development; computer advice and assistance concerning Internet use; rental of computers and software; scientific and industrial research, namely research and development of new products, biological research, bacteriological research, chemical research, cosmetic research, mechanical research, geological research, technical research, pharmaceutical research, scientific research for medical purposes; information technology services; computer system integration services; consulting services in the field of design, selection, implementation and use of computer hardware and software systems for third parties; technical support services, namely, diagnosing computer hardware and computer software problems; computer system design services for third parties; design of systems for interconnection of computers and computer programs, namely, integration of computer systems and computer networks; computer program and computer hardware testing services, namely testing of software, computers and servers to ensure proper functioning thereof; cloud computing services, namely, network-integrated computer hardware and software services for dynamic provisioning, virtualization and consumption metering of computer resources; providing virtual computer systems and virtual computer environments through cloud computing; design and development of software for cloud storage of data; cloud computing hosting provider services; electronic data storage and data recovery services; data security service; computer support provided by programmers; design of computer hardware for computer networks; Artificial Intelligence as a Service (AIaaS); information technology consulting services; customization and configuration of computer software and hardware; technical consulting services relating to online networking; managed information technology services and information technology management operations for third parties, namely virtual infrastructure management, computer network configuration and computer data storage services; hosting, management and administration (maintenance) of computer software for third parties; providing temporary use of non-downloadable computer software for management, testing and use of multiple operating systems; providing temporary use of non-downloadable computer software for managing virtual computing infrastructure, for network and storage management; providing temporary use of non-downloadable computer software for creating and maintaining scalable cloud computing applications; computer software rental and lease with purchase option; technical support services, namely, troubleshooting computer software and hardware problems; technical consulting services relating to virtual infrastructure
40.
ADAPTIVE GUIDELINE CUSTOMIZATION AND PROFILING FOR TAILORED ASSESSMENTS
A computer-implemented method includes: generating, by a computing device, a set of customized guidelines using at least user data and a current set of known guidelines; improving, by the computing device, the set of customized guidelines using a refined customer profile including user data of a current client; providing, by the computing device, a maturity assessment of the current client using the improved set of customized guidelines and known maturity assessments; and providing a recommendation to the current client based on the improved set of customized guidelines and maturity assessment.
A computer-implemented method includes: monitoring, by a computing device, a data set format of all files in a computing system to determine a list of data sets in a first format which are accessed greater than a predetermined number of times; gathering, by the computing device, the list of data sets in the first format within the computing system; and converting, by the computing device, the list of data sets in the first format within the computing system to a second format which is different from the first format.
Embodiments relate to providing granular level document security with role-based access. A technique includes determining, by a first artificial intelligence (AI) model, segments of a document and generating, by a second AI model, tags for the segments of the document, the tags being unique identifiers for the segments. The technique includes defining permissions for the tags in an access control table based on a plurality of identifications, an identification being in the plurality of identifications. The technique includes, in response to receiving the identification with a request to access the document, extracting the tags permitted for the identification from the access control table, and filtering the document according to the segments for the tags permitted for the identification. The technique includes, in response to the request to access the document, causing the document that is filtered to be rendered with the segments for the tags permitted for the identification.
An approach includes providing support multi-tenancy support on a DHCP protocol. The approach includes receiving a dynamic host configuration protocol (DHCP) packet, inserting a tenant-specific option information within the DHCP packet, and transmitting the DHCP packet with the tenant-specific option information.
An approach is disclosed for training an artificial intelligence (AI) model to recommend services for a complex composite service chain in a cloud computing platform. The training uses metadata from various services provided by different service providers. The method involves inputting a first service into the trained AI model, which then suggests recommended services. These recommendations are displayed to a user, who selects one of the suggested services. The selected service is displayed as part of the service chain. The AI model then processes metadata from the selected service to provide additional service recommendations. This iterative process continues, with the AI model being further trained based on user selections to improve its recommendations.
G06F 15/173 - Interprocessor communication using an interconnection network, e.g. matrix, shuffle, pyramid, star or snowflake
H04L 41/16 - Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using machine learning or artificial intelligence
A computer-implemented method including: collecting, by a computing device, specification documentation of a product and drift data of the product during a product lifecycle; analyzing, by the computing device, the specification documentation and the drift data of the product to identify anomalies between the specification documentation and the drift data of the product during different stages of the product lifecycle; computing, by the computing device, a score of each of the identified anomalies; recommending, by the computing device, solutions to fix selected anomalies based on their score and by using content-based recommendations; and displaying the recommended solutions to an end-user in a dashboard.
Examples described herein provide a method that includes receiving a set of air-gapped systems' states from a plurality of monitored air-gapped systems. The method further includes aggregating one or more subsets of the set of air-gapped systems' states based on a vectorized set of standard operating procedures in execution at a time of the generating. The method further includes determining, using at least one aggregation, an intersystem state event dependency defining the aggregating using natural language processing techniques. The method further includes forwarding the intersystem state event dependency to a secondary event aggregator. The method further includes classifying the intersystem state event dependency as an abnormal intersystem state event dependency. The method further includes determining, based on a historical corpus of intersystem state event dependencies, a resolution for the abnormal intersystem state event dependency. The method further includes implementing the resolution to resolve the abnormal interstate system state event dependency.
A computer-implemented method may include querying a centralized patch repository for new patch data; receiving a confirmation that there is new patch data in the centralized patch repository; spinning-up a proxy in an isolated computing environment in response to the receiving the confirmation; disabling an air-gap of the isolated computing environment configured to receive the new patch data; and receiving the new patch data at the isolated computing environment from the centralized patch repository.
G06F 21/57 - Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities
G06F 21/53 - Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems during program execution, e.g. stack integrity, buffer overflow or preventing unwanted data erasure by executing in a restricted environment, e.g. sandbox or secure virtual machine
A computer implemented system including multiple nodes within a container orchestration system. The container orchestration system defines sets of nodes as containers. A utilization monitoring module is configured to monitor at least one utilization metric of the sets of nodes. A migration controller is configured to trigger a migration of at least one pod from a first set of nodes to a second set of nodes based at least in part on the at least one utilization metric. A migration engine is configured to implement the migration of the at least one pod. A container orchestration system controller includes instructions for operating the utilization monitoring module, the migration controller, and the migration engine.
Embodiments relate to preventing geographic bias on generative artificial intelligence (AI) engines. An aspect includes receiving a user prompt from a user device, and selecting at least one tunnel to connect to for sending the user prompt, where the selecting of the at least one tunnel is based on a geographical region. An aspect includes transmitting, by connecting to the at least one tunnel having been selected, the user prompt to at least one generative artificial intelligence engine associated with the geographical region in order to receive a response, and transmitting the response to the user device.
Embodiments relate to performing user validation using local resources in order to permit or deny access to computer resources. An aspect includes in response to receiving a request for access, selecting a selected resource type from a plurality of resource types and selecting a selected user resource from a user resource pool, the selected user resource having the selected resource type. An aspect includes executing a machine learning model to output a prompt in response to inputting the selected user resource, executing a generative artificial intelligence (AI) engine to output generated resources in response to inputting the prompt, and performing an authentication by presenting the generated resources and the selected user resource.
Embodiments build an inventory of existing backups in a legacy system, initiate a restore for the existing backups in the legacy system, intercept a plurality of operations of the legacy system, send data which comprises a specific marker pattern in response to intercepting the plurality of operations, and build a storage map using the data which comprises the specific marker pattern.
G06F 11/14 - Error detection or correction of the data by redundancy in operation, e.g. by using different operation sequences leading to the same result
52.
RECOMMENDATION PRIORITIZATION FOR A CONTAINER ORCHESTRATION SYSTEM
Computer-implemented methods for recommendation prioritization for a container orchestration system. Aspects include receiving a set of recommendations for a cluster of a container orchestration system. Aspects also include selecting an optimal recommendation from the set of recommendations using a scored knowledge transform graph. Aspects further include generating a confidence score for the cluster based on the optimal recommendation. Aspects also include determining a category of a readiness assessment model for the cluster using the confidence score. Aspects further include modifying a computer resource of the cluster based on the category of the readiness assessment model.
Computer-implemented methods for a challenge-response authentication system using generative artificial intelligence (AI). Aspects include generating a prompt for an object of a randomly selected output type. Aspects further include generating a solution object of the randomly selected output type based on the prompt using a generative AI engine. Aspects also include generating a candidate object of the randomly selected output type based on a modified prompt using the generative AI engine. Aspects further include presenting a challenge-response test comprising a question based on the prompt, the solution object, and the candidate object to a user device. Aspects also include performing a responsive action in response to receiving a response to the challenge-response test from the user device comprising an object selection.
Computer-implemented methods for a user-defined technical drawing generation system. Aspects include receiving user input about an overall object for a technical drawing. Aspects also include retrieving data from a knowledge database based on the user input. Aspects further include generating an augmented query based on the user input and the data from the knowledge database. Aspects also include generating an initial outline of the overall object for the technical drawing based on the augmented query using a generative artificial intelligence (AI) engine. Aspects further include refining the initial outline of the overall object by a refinement AI engine using a parameter for a component of the overall object. Aspects also include finalizing the overall object for the technical drawing.
G06F 30/27 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
Embodiments calculate a request usage and a limit usage for a plurality of pods based on historical data, generate a recommendation for pod resources based on the calculated request usage and the calculated limit usage, and output a recommendation output message for approval which corresponds to the recommendation.
Computer-implemented methods for a gateway health monitoring system. Aspects include generating a mapping between entity utilization metrics and an application of a mainframe of a hybrid cloud system. Aspects also include determining a correlation between the entity utilization metrics and information technology (IT) performance metrics. Aspects further include defining a relationship between an entity utilization driver and the IT performance metrics using the mapping and the correlation. Aspects also include generating forecasted values using the relationship between the entity utilization driver and the IT performance metrics. Aspects further include generating a proposed infrastructure configuration based on the forecasted values.
Embodiments sort a plurality of documents in an increasing order of frequency updates, create multiple recursive partitions of the plurality of sorted documents, compute a cost of the multiple recursive partitions, choose a partition with a smallest cost from computed costs of the multiple recursive partitions, and merge the plurality of documents based on the partition with the smallest cost.
Computer-implemented methods for a topical and contextual content filter for large language model chatbots. Aspects include receiving a user query of a user from a chatbot application. Aspects also include receiving a previous chatbot application conversation associated with the user. Aspects further include determining that the user query of the user from the chatbot application is not a continuation of the previous chatbot application conversation associated with the user. Aspects also include identifying a short list of possible topics using the user query and a topic database. Aspects include determining that the user query of the user from the chatbot application is not associated with the short list of possible topics. Aspects further include transmitting a notification to the chatbot application comprising a rejection of the user query.
G06F 15/16 - Combinations of two or more digital computers each having at least an arithmetic unit, a program unit and a register, e.g. for a simultaneous processing of several programs
H04L 51/02 - User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages
H04L 51/216 - Handling conversation history, e.g. grouping of messages in sessions or threads
59.
PREVENTION OF VIOLATION OF SECURITY POLICIES AND COMPLIANCE DURING ENROLLMENT ON WEB APPLICATIONS AND SYSTEMS
The present disclosure relates generally to computer security and, more particularly, to a system and method to detect violations of security policies and compliance during enrollment of web applications and systems. A computer-implemented method includes: ingesting, by a computing device, internal security policies of an organization and external terms and conditions of a web-based activity; identifying, by the computing device, topics of the internal security policies of the organization and the external terms and conditions of the web-based activity; parsing, by the computing device, dependencies within the internal security policies of the organization and the external terms and conditions of the web-based activity; and creating, by the computing device, clusters of the internal security policy and clusters of the external terms and conditions of the web-based activity based on the identifying and parsing.
Embodiments relate to the identification and mitigation of jamming attacks on autonomous vehicles. A technique includes determining that an object previously detected is no longer detected by a sensor of a vehicle. The technique includes, in response to the object previously detected no longer being detected by the sensor, determining that another sensor of the vehicle detects the object. The technique includes, in response to the object previously detected no longer being detected by the sensor, performing safety actions based on another sensor detecting the object.
Methods and systems include managing bandwidth in Fibre Channel over Internet Protocol (FCIP) communication channels. A method includes monitoring traffic demand at an FCIP communication channel and, in response to an anticipated period of throughput demand on the FCIP communication channel, reallocating physical throughput bandwidth of the FCIP communication channel by configuring bandwidth of one or more tunnels of the FCIP communication channel.
A computer-implemented method that includes obtaining a plurality of data types from an aggregation of data sources, generating at least one capability maturity score by evaluating a capability of at least one data source of the aggregation of data sources, and generating at least one provider maturity score by evaluating at least one data source of the aggregation of data sources associated with a specific provider. The method may further include generating, using a machine learning algorithm, a set of recommendations by iteratively simulating a plurality of modified capabilities and determining one or more steps to increase operational maturity. The method may further include ranking the set of recommendations and preparing a report for a user, including an explanation of the predicted change in the operational maturity in response to implementing the set of recommendations.
G06Q 10/0637 - Strategic management or analysis, e.g. setting a goal or target of an organisationPlanning actions based on goalsAnalysis or evaluation of effectiveness of goals
G06Q 10/0639 - Performance analysis of employeesPerformance analysis of enterprise or organisation operations
The present disclosure relates generally to cybersecurity and, more particularly, to a system and method to detect and prevent login attacks. A computer-implemented method includes: gathering, by a computing device, a login window from a display of a user device; determining, by the computing device, that the login window is invalid; flagging, by the computing device, the login window as an attack on the user device upon determining that the login window is invalid; and executing, by the computing device, a security action on the user device.
A computer-implemented method may include determining, by a computing device, a verve of a feature; determining, by a computing device, a first release intensity score (RIS) of the feature; stabilizing, by a computing device, a release train based on the verve and the RIS of the feature; and modifying, by a computing device, an engagement schedule based on the stabilized release train.
A computer implemented method and system for supporting self-assessed upgrades using dynamic benchmarking of combinations of main and sub libraries for carrying out Library Developer Operations (LibOps) includes identifying a software library module being used in a software application, identifying dependencies and upgrades for the software library module, identifying a latest software library module version, identifying a change.log module for the latest software library module version, wherein the change.log module includes a record of all changes to the software library module, categorizing breaking changes and deprecated features for the latest software library module version and generating an upgrade score and suggesting recommendations responsive to the upgrade score.
Embodiments receive ticket input data, determine an estimated resolution time using at least one machine learning (ML) model based on the received ticket input data, determine a ticket mis-assignment data based on the received ticket input data, and send a ticket output data based on the estimated resolution time and the ticket mis-assignment data.
G06Q 10/0631 - Resource planning, allocation, distributing or scheduling for enterprises or organisations
G06F 18/2413 - Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
67.
BUSINESS SERVICE HEALTH SCORE VALIDATION FRAMEWORK
Embodiments receive metric and log data from an external system; generate a first set of health scores for metric data of the metric and log data using a plurality of artificial intelligence (AI) models; generate a second set of health scores for log data of the metric and log data using a log data analysis; determine a similarity score based on the first set of health scores and the second set of health scores; and perform a validation by comparing the similarity score to a predetermined threshold value.
Embodiments relate to automatically providing multi-cloud generative artificial intelligence (AI) arbitrage, orchestration, and accuracy validation. An aspect includes inputting a user prompt to artificial intelligence (AI) models to obtain results and in response to receiving the results from the AI models, determining that at least one incongruent result is found in the results. An aspect includes resolving an issue of the at least one incongruent result in the results, in response to resolving the issue, merging the results to obtain a final result, and presenting the final result.
Computer-implemented methods for a Kubernetes root cause analysis system. Aspects include receiving a keyword from a preprocessor of a Kubernetes root cause analysis system. Aspects further include determining a degree of similarity for the keyword. Aspects also include determining a membership approximation for the keyword in a labeled gravid fuzzy rough set of a multifaceted knowledge corpus based on the degree of similarity for the keyword. Aspects include receiving a determination associated with the membership approximation for the keyword from a subject matter expert. Aspects further include performing a membership action using the keyword on the labeled gravid fuzzy rough set.
An approach is provided that identifies a sensitive data in a request to an artificial intelligence (AI) engine. In one embodiment, the identifying further includes: translating the request from one natural language to other natural languages, thus creating translated requests, comparing fields in the first natural language to fields in the other natural languages with the comparing resulting in some untranslated fields that are treated as the sensitive data. The approach further includes creating an obfuscated request by obfuscating the sensitive data identified in the request before the obfuscated request is transmitted to the AI engine.
Embodiments relate to a technique for providing automated single-to-grouped cloud computing optimizations. The technique includes generating, by a first machine learning model, a single notification for a computing environment, and in response to receiving user responses to a string of the single notification and other single notifications for the computing environment, determining to switch from a single mode to a group mode. The technique includes, based on the user responses to the string of the single notification and the other single notifications for the computing environment, generating, by a second machine learning model, a group of notifications for the computing environment. The technique includes causing at least one modification to the computing environment in accordance with at least one affirmative user response to the group of notifications.
Computer-implemented methods for a Kubernetes root cause analysis system. Aspects include receiving a keyword from a preprocessor of a Kubernetes root cause analysis system. Aspects further include determining a degree of similarity for the keyword. Aspects also include determining a membership approximation for the keyword in a labeled gravid fuzzy rough set of a multifaceted knowledge corpus based on the degree of similarity for the keyword. Aspects include receiving a determination associated with the membership approximation for the keyword from a subject matter expert. Aspects further include performing a membership action using the keyword on the labeled gravid fuzzy rough set.
Embodiments receive confidential data on a first device; modify the confidential data on the first device by using a randomization pattern; and send the modified confidential data to a second device by wireless communication.
G06F 21/75 - Protecting specific internal or peripheral components, in which the protection of a component leads to protection of the entire computer to assure secure computing or processing of information by inhibiting the analysis of circuitry or operation, e.g. to counteract reverse engineering
Embodiments determine a set of writing patterns of at least one data communication; determine a narrative style on the set of writing patterns of the at least one data communication; provide a writing profile model by training on the narrative style and the set of writing patterns; compare a new data communication to the trained writing profile model; and flag the new data communication based on the comparison being over a threshold level.
A method may include obtaining, by a computing device, an information technology (IT) incident report; obtaining, by the computing device, a set of system details of a system experiencing an IT incident, the IT incident being described by the IT incident report; identifying, by the computing device, a plurality of potential IT incident resolutions; scoring, by the computing device, the plurality of potential IT incident resolutions using a machine learning model, the machine learning model configured to determine a success of the plurality of potential IT incident resolutions; and generating and transmitting, by the computing device and according to the scoring, the plurality of potential IT incident resolutions.
Computer-implemented methods for a user-friendly and self-managed CAPTCHA system. Aspects include storing a copy of an image selected from a set of images as a source image. Aspects further include generating a reference image by applying an image obfuscation technique to the image and a challenge image by applying a different image obfuscation technique to the image. Aspects include dividing the challenge image into partitions and placing the partitions randomly on a virtual canvas. Aspects include displaying the reference image and the virtual canvas on a user device requesting to access a protected resource. Aspects include receiving a solution image comprising the partitions of the challenge image arranged by a user from the user device. Aspects also include generating a similarity score by comparing the source image and the solution image. Aspects further include determining that the similarity score is below a threshold value and performing a security action.
Embodiments relate to the identification and mitigation of spoofing attacks on autonomous vehicles. A technique includes detecting using a sensor of the vehicle that an object appears in a path of the vehicle and preventing the vehicle from motion in response to detecting the object. The technique includes determining that the object is associated with a deception of the sensor of the vehicle and performing security actions in response to determining that the object is associated with the deception of the sensor of the vehicle.
In an first aspect of the disclosure, there is a computer-implemented method which includes: obtaining, by a computing device, a password entered by an account user, placing, by the computing device, the password in memory of a device; generating, by the computing device, a fake password by randomly injecting characters into the password; storing, by the computing device, the fake password in a secure database; and deleting the password from the memory.
Computer-implemented methods for an impersonation attack detection and prevention system. Aspects include receiving a communication from a user of a communication environment. Aspects further include generating a similarity score using metadata of the communication from the user and a digital persona associated with the user in the communication environment. Aspects also include determining that the communication is a potential impersonation attack threat by determining that the similarity score is below a threshold value. Aspects include performing a security action to protect the communication environment from the potential impersonation attack threat.
Embodiments relate to a computer implemented method for identifying, validating and authenticating a user using biological patterns and numbers. The method includes prompting a user to enter a password into an authentication software, where the password is responsive to selected user fingers, selected user fingerprints and a selected entry pattern of the user fingers and user fingerprints. A biometric sensing device is operated to obtain biometric data responsive to sensed user fingers, sensed user fingerprints and a sensed entry pattern. The biometric data is processed to determine characteristic features of at least one of the sensed user fingers, the sensed user fingerprints and the sensed entry pattern and the characteristic features is compared with the user data to determine if the characteristic features match the user data. The user is allowed or denied entry into a computer system responsive to whether the characteristic features match the user data.
Embodiments input a plurality of data and a weightage reallocation to a dynamic ranking priority system, calculate a plurality of sentiment scores and a plurality of penalty scores based on the plurality of data, eliminate a sentiment score of the plurality of sentiment scores in response to a corresponding penalty score of the plurality of penalty scores being greater than a predetermined threshold, dynamically re-rank a plurality of tickets with a same priority using a machine learning (ML) model based on a type of the plurality of data which is most similar to historical data, dynamically change a pre-allocated weightage using a learn on the job (LOTJ) model based on a ticket resolution to perform based on the plurality of data, and adjust the weight reallocation based on the dynamically changed pre-allocated weightage.
In an aspect of the disclosure, a method includes: obtaining, by a computing device, a user request to access at least one system resource; obtaining, by the computing device, a digital certificate of the user requesting access to the at least one system resource; obtaining, by the computing device, a validation result associated with the digital certificate from a blockchain ledger network; determining, by the computing device, whether the validation result authorizes access to an authorization service; and sending the authorization to the authorization service to deny or permit the user access to the at least one system resource based on the validation result.
In an aspect of the disclosure, there is a computer-implemented method including: obtaining, by a computing device, a request from an endpoint device to access at least one system resource; obtaining, by the computing device, a digital certificate from a shared digital wallet; obtaining, by the computing device, a validation result associated with the digital certificate from a blockchain ledger network; determining, by the computing device, whether the validation result authorizes access to the at least one system resource by the endpoint device; and sending authorization to the endpoint to deny or permit the endpoint device access to the at least one system resource based on the validation result.
G06Q 20/36 - Payment architectures, schemes or protocols characterised by the use of specific devices using electronic wallets or electronic money safes
A computer-implemented method, including: receiving, by a computing device, an information technology (IT) operations request; collecting, by the computing device, information associated with the IT operation request from a knowledge bank; determining, by the computing device, a resolution resource for completing the IT operation request; and assigning, by the computing device, the resolution resource based on the information from the knowledge bank and IT operation request.
Embodiments relate to enhancing a virtual storage mechanism to optimize fetch performance of named objects in enterprise systems. A technique includes receiving from a requester a request to retrieve an object and determining that the object is available for retrieval in a virtual data space, where a machine learning model is configured to cause the object to be placed in the virtual data space, the machine learning model being trained on fetch data for objects. The technique includes retrieving the object from the virtual data space instead of a storage system and providing the object to the requester for execution.
G06F 12/123 - Replacement control using replacement algorithms with age lists, e.g. queue, most recently used [MRU] list or least recently used [LRU] list
This disclosure presents an approach for identifying obfuscation patterns within system log files to enhance cybersecurity. The method involves two key stages: first, detecting tampering in a primary set of log entries; and second, monitoring a secondary set of log files for the presence of these tampering patterns. By comparing the identified obfuscation patterns in the primary log entries with those detected in the secondary set, the system can effectively identify potential system intrusions. This innovative approach provides an advanced and proactive means of bolstering system security by uncovering and responding to malicious activities that attempt to obscure their tracks within log files, ultimately enhancing the defense against cyber threats.
An approach is provided that displays avatars locating in a first virtual area to a first set of users with each user controlling one of the avatars. A request is received from one of the users to escape a situation. In response to the request, the system clones the user's first avatar thus creating a second avatar. The second avatar is visible to the user; however it is invisible to one or more of the set of users. The user controls the second avatar and the first avatar is automatically controlled using artificial intelligence (AI), with the user no longer controlling the first avatar.
G06T 19/00 - Manipulating 3D models or images for computer graphics
G06F 3/0484 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
A computer-implemented method including: obtaining, by a computing device, a plurality of risk events; mapping, by the computing device, treatment actions to each of the plurality of the risk events; determining, by the computing device, an impact of the treatment actions on each of the plurality of the risk events; determining, by the computing device, a probability of implementation of the treatment actions; calculating, by the computing device, how the treatment actions affect other risk factors based on the determining steps; and providing, by the computing device, a recommendation of optimal risk mitigation based on how the first treatment actions affect the other risk events.
G06F 21/57 - Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities
G06F 11/07 - Responding to the occurrence of a fault, e.g. fault tolerance
G06Q 10/0635 - Risk analysis of enterprise or organisation activities
89.
MACHINE LEARNING MODEL FOR GENERATING CODE SNIPPETS AND TEMPLATES
Embodiments relate to a machine learning model for generating code snippets and templates. A team feature set for a team is provided to a machine learning model, the team including at least two members. The machine learning model determines a recommendation for the team, the recommendation being related to computer execution to perform a task. In response to determining the recommendation for the team, the recommendation is rendered to the team.
An approach is disclosed that determines that a change is needed to a remote system that is managed by a change management system that manages changes to many remote systems. A change management time window when the change is scheduled to be performed at the selected remote system is identified and a monitoring request is sent to the remote system. The monitoring request causes the remote system to run a monitoring process. The change management system receives an activity notification that was identified by the monitoring process. In response to the activity notification matching the change needed, the change scheduled at the selected remote system is canceled by the change management system.
H04L 41/082 - Configuration setting characterised by the conditions triggering a change of settings the condition being updates or upgrades of network functionality
H04L 41/0869 - Validating the configuration within one network element
Embodiments relate to preventing deep fake voicemail scams. In response to receiving a voice message, an intent of the voice message is determined. The intent is determined to relate to a persuasion technique. A warning is provided about the voice message.
A computer-implemented method includes presenting one or more categories of movement patterns. The computer-implemented method includes recording a movement pattern of a user, where the movement pattern is associated with the one or more categories of movement patterns. The computer-implemented method includes authenticating the recorded movement pattern is correct. The computer-implemented method includes associating the authenticated recorded movement pattern with at least one of a device, application, and web-based service.
An approach is disclosed that creates a network graph that identifies computing resources as nodes. Each of the computing resources is weighted based upon the corresponding resource's attributes and usage. The approach connects a first set of nodes as directly connected and a second set of nodes as indirectly connected. Node longevity values are calculated for each node in the network graph with each of the node longevity values corresponding to one of the nodes in the network graph. The calculations are based on the direct and indirect connections between each of the nodes. The computing resources are managed based on the corresponding node longevity values.
Embodiments relate to providing automated text summarization techniques for capturing and conveying information technology (IT) records with numerical data. A technique is executed by one or more processors and includes receiving an IT record comprising text and numerical data, normalizing the numerical data into normalized numerical data, transforming the normalized numerical data into comparative and superlative adjectival terms and rewriting the text to include the comparative and superlative adjectival terms for output as a rewritten IT record.
Embodiments relate to early detection of information technology (IT) failures in a computing system. A technique is executed by one or more processors and includes receiving multiple IT records including past and recent historical data, extracting first and second time series sections from the past and recent historical data, respectively, training a failure detection model to correlate metric patterns in the first time series sections with at least one of other metric patterns and previous IT failures and, in response to the training, using the failure detection model to predict at least one of upcoming metric patterns and upcoming IT failures from metric patterns in the second time series sections.
One or more embodiments relate to protecting data stored by a non-volatile memory of a memory device installed in a computing device. A technique includes in response to a power-up of the memory device, incrementing a memory power cycle count, and receiving a host power cycle count indicating a number of power-ups of the computing device. The technique includes, if the memory power cycle count is not equal to the host power cycle count, applying a security reaction to the memory, the security reaction being adapted for preventing a readout of the data.
G06F 21/75 - Protecting specific internal or peripheral components, in which the protection of a component leads to protection of the entire computer to assure secure computing or processing of information by inhibiting the analysis of circuitry or operation, e.g. to counteract reverse engineering
G06F 21/55 - Detecting local intrusion or implementing counter-measures
97.
Protecting a non-volatile solid-state memory from an unauthorized access
An approach is provided for protecting data stored by a non-volatile solid-state memory from an unauthorized access. In response to a trigger event indicating an increased probability of the unauthorized access, the memory is destroyed by directing through the memory an electric current exceeding a rated current of the memory, and testing an operability of the memory, where the destruction is completed when the test indicates lacking operability of the memory.
G06F 21/62 - Protecting access to data via a platform, e.g. using keys or access control rules
G06F 21/79 - Protecting specific internal or peripheral components, in which the protection of a component leads to protection of the entire computer to assure secure storage of data in semiconductor storage media, e.g. directly-addressable memories
98.
ABSTRACTIVE SUMMARIZATION OF INFORMATION TECHNOLOGY ISSUES USING A METHOD OF GENERATING COMPARATIVES
Embodiments relate to providing automated text summarization techniques for capturing and conveying information technology (IT) records with numerical data. A technique is executed by one or more processors and includes receiving an IT record comprising text and numerical data, normalizing the numerical data into normalized numerical data, transforming the normalized numerical data into comparative and superlative adjectival terms and rewriting the text to include the comparative and superlative adjectival terms for output as a rewritten IT record.
A computer-implemented method, including: receiving, by a computing device, a data pipeline job request; generating, by the computing device, a complexity score for the data pipeline job request; determining, by the computing device, a predicted execution time for the data pipeline job request; generating, by the computing device, a priority score for the data pipeline job request based on the predicted execution time and the generated complexity score; and comparing, by the computing device, the priority score for the data pipeline job request to another priority score to determine a schedule for the data pipeline job request.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Computer programming; software as a service (SaaS) services
featuring software for data management; software as a
service (SaaS) services featuring software for cloud
computing; software as a service (SaaS) services featuring
software for artificial intelligence; software as a service
(SaaS) services featuring software for cognitive computing;
Software as a Service (SaaS) services featuring software for
blockchain technology; software as a service (SaaS) services
featuring software for quantum computing and quantum
programming; software as a service (SaaS) services featuring
software for constructing, analyzing and running quantum
programs and quantum algorithms; software as a service
(SaaS) services featuring software for developing and
testing quantum algorithms; computer programming and
computer consulting services for artificial intelligence;
computer programming and computer consulting services for
cognitive computing; computer programming and computer
consulting services for information management; computer
programming and computer consulting services for data
management; computer programming and computer consulting
services for cloud computing; computer programming and
computer advisory services for blockchain technology;
computer programming and computer consulting services for
quantum computing; computer programming and computer
consulting services for software as a service (SaaS);
design, installation, updating and maintenance of software;
computer software and hardware design for third parties and
consultation services in the field of computers; computer
services, namely, design, creation and maintenance of
websites for third parties; computer systems analysis,
database and network integration, computer programming for
third parties, all for use in commercial interactions over
global computer networks; technical support services,
namely, troubleshooting of computer program and software
problems; design of systems for interconnection of computers
and software, namely, electronic connection of computers and
software to each other; computer software and hardware
testing services (quality and technical controls); technical
project studies in the field of computer hardware and
software; consultancy services in the field of computer
hardware, namely consultancy regarding computing research
and development; computer advice and assistance concerning
Internet use; rental of computers and software; scientific
and industrial research, namely research and development of
new products, biological research, bacteriological research,
chemical research, cosmetic research, mechanical research,
geological research, technical research, pharmaceutical
research, scientific research for medical purposes;
information technology services; computer system integration
services; consulting services in the field of design,
selection, implementation and use of computer hardware and
software systems for third parties; technical support
services, namely, diagnosing computer hardware and computer
software problems; computer system design services for third
parties; design of systems for interconnection of computers
and computer programs, namely, integration of computer
systems and computer networks; computer program and computer
hardware testing services, namely testing of software,
computers and servers to ensure proper functioning thereof;
cloud computing services, namely, network-integrated
computer hardware and software services for dynamic
provisioning, virtualization and consumption metering of
computer resources; providing virtual computer systems and
virtual computer environments through cloud computing;
design and development of software for cloud storage of
data; cloud computing hosting provider services; electronic
data storage and data recovery services; data security
service.
