首页|Researchers Submit Patent Application, 'Programmable Model-Driven License Manage ment And Enforcement In A Multi-Tenant System', for Approval (USPTO 20240311447)
Researchers Submit Patent Application, 'Programmable Model-Driven License Manage ment And Enforcement In A Multi-Tenant System', for Approval (USPTO 20240311447)
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From Washington, D.C., NewsRx journali sts report that a patent application by the inventors A, Chandrasekhar (Bengalur u, IN); N, Premchandar (Bangalore, IN); R, Jayanthi (Bangalore, IN); REDDY, Bhas kar T. (Bangalore, IN); SHAH, Viren L. (Bangalore, IN); SHELAT, Ritesh (Bangalor e, IN), filed on May 23, 2024, was made available online on September 19, 2024. No assignee for this patent application has been made. News editors obtained the following quote from the background information suppli ed by the inventors: "Product license enforcement is a mechanism or mechanisms t hat are used to manage product license compliance. Product license management is a mechanism tool that helps businesses document and manage product licenses to ensure compliance with usage terms and conditions." As a supplement to the background information on this patent application, NewsRx correspondents also obtained the inventors' summary information for this patent application: "Some implementations described herein relate to a method. The met hod may include receiving license data identifying device licenses and organizat ion licenses associated with an organization of users of a multi-tenant system, and identifying, in the license data, entitlements for one or more licenses asso ciated with the organization. The method may include combining the entitlements to generate combined entitlements, and determining an entitlement count of the c ombined entitlements. The method may include adding quantities of one or more ne w entitlements to the entitlement count, and identifying, in the license data, r oles of the users and capabilities associated with each of the roles. The method may include mapping the entitlements and the capabilities to generate an entitl ement-to-capability mapping, and authorizing a particular user of the multi-tena nt system based on the entitlement-to-capability mapping. The method may include processing usage of the entitlements, with a machine learning model, to predict future usage of the entitlements, and determining one or more entitlement recom mendations based on the future usage. The method may include providing the one o r more entitlement recommendations for display.
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