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公开(公告)号:US11044096B2
公开(公告)日:2021-06-22
申请号:US16385802
申请日:2019-04-16
发明人: Kapil Singi , Swapnajeet Gon Choudhury , Vikrant S. Kaulgud , Jagadeesh Chandra Bose Rantham Prabhakara , Sanjay Podder , Adam Patten Burden
IPC分类号: H04L9/32 , H04L9/06 , H04W12/06 , H04W12/108
摘要: A device may obtain information identifying a base application. The device may extract a set of sub-application artifacts associated with the base application based on structural information associated with the base application. The device may define a set of metadata attributes associated with the set of sub-application artifacts associated with the base application. The device may generate a set of hash tuples for the set of metadata attributes associated with the set of sub-application artifacts associated with the base application. The device may generate a base composite identity of the base application based on the set of hash tuples. The device may store the base composite identity in a blockchain and in connection with storage of the base application in the blockchain to enable subsequent identification and verification of the base application.
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公开(公告)号:US11157247B2
公开(公告)日:2021-10-26
申请号:US16775073
申请日:2020-01-28
发明人: Kapil Singi , Vikrant Kaulgud , Swapnajeet Gon Choudhury , Jagadeesh Chandra Bose R. P. , Vibhu Saujanya Sharma , Sanjay Podder , Adam Patten Burden
摘要: System and methods for cryptologic digital twin segregation with blockchain for development operations are provided. By way of introductory example, a system may receive a first development object from a first devops tool and a second development object from a second devops tool. The system may identify, in a segregation model graph, a first node and a second node, the first node corresponding to the first development object and the second node corresponding to the second development object. The system may determine the first node is mapped to an off-chain storage classification and the second node is mapped to an on-chain storage classification. The system may store the first development object in an off-chain storage, generate a hash value of the first development object, and store the hash value of the first development object on a blockchain. The system may store the second development object on the blockchain.
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公开(公告)号:US20240345897A1
公开(公告)日:2024-10-17
申请号:US18301703
申请日:2023-04-17
发明人: Manish Ahuja , Swapnajeet Gon Choudhury , Kapil Singi , Kuntal Dey , Vikrant Kaulgud , Adam Patten Burden
CPC分类号: G06F9/5077 , G06F11/3495
摘要: Intelligent AI-based systems and methods of generating architecture diagrams for cloud computing-based infrastructures. The system can ingest and process requirement data and identify intents associated with the software. Based on the classifications of the requirement data, the system can automatically extract dependencies between software layers and microservices in order to identify the most appropriate components for the application. In some embodiments, validation can be performed in which a digital twin model is implemented. Implementation of such as system can eliminate manual errors and variability based on human skill sets, as well as enable risk-free testing of the architecture based on the application goals.
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公开(公告)号:US12019776B2
公开(公告)日:2024-06-25
申请号:US17733726
申请日:2022-04-29
发明人: Kapil Singi , Vikrant Kaulgud , Kanchanjot Kaur Phokela , Kishore P. Durg , Swapnajeet Gon Choudhury
IPC分类号: G06N5/022 , G06F16/2455 , G06F16/2457 , G06F16/2458 , G06F21/62
CPC分类号: G06F21/6218 , G06F16/24564 , G06F16/2457 , G06F16/2458 , G06N5/022
摘要: In some examples, policy-based application architecture generation may include generating, based on a knowledge model schema, data residency policies, and a data classification ontology, a knowledge model, and determining, based on the knowledge model, whether an application includes regulated data. Based on an analysis of application data and user data, user location and regulated data insights may be generated to determine location specific data residency policies. Location specific regulated data in-flow and data source hosted location insights may be analyzed to determine a location compliance assessment that includes an indication of whether a location associated with the application is compliant or not compliant with the location specific data residency policies. Based on an indication of non-compliance, a strategy may be generated for compliance of application architecture for the application with the location specific data residency policies, and re-architecting of the application architecture may be implemented.
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公开(公告)号:US11416524B2
公开(公告)日:2022-08-16
申请号:US17100569
申请日:2020-11-20
发明人: Kapil Singi , Vikrant Kaulgud , Sanjay Podder , Adam Patten Burden , Swapnajeet Gon Choudhury , Rambhau Eknath Rote , Kishore Durg , Raghunandan Hemmige Keshava , Swati Sharma
IPC分类号: G06F16/28 , G06F16/901 , G06N5/02
摘要: In some examples, data classification and modelling based application compliance analysis may include generating, for application data for an application, and based on data laws, a knowledge graph schema that is used to generate an instantiated knowledge graph. Based on a plurality of data sources, domain knowledge and patterns, and the instantiated knowledge graph, classified data may be generated to generate an annotated knowledge graph. Based on the annotated knowledge graph, an indication of applicable sovereign laws and compliance related to the application data for the application may be generated. Based on the annotated knowledge graph and the applicable sovereign laws and compliance related to the application data for the application, a sovereign cloud strategy related to the application data for the application may be generated. Further, the sovereign cloud strategy may be applied to the application data for the application.
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