Patents by Inventor Rohit Sukumaran

Rohit Sukumaran has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Secure Modular Machine Learning Platform
    Publication number: 20250021641
    Abstract: A secure, modular multi-tenant machine learning platform is configured to: receive untrusted code supplied by a first tenant; perform a security scan of the untrusted code to determine whether the untrusted code satisfies a set of one or more security requirements; responsive to determining that the untrusted code satisfies the security requirement(s): deploy the untrusted code to a runtime execution environment; deploy a machine learning model associated with the first tenant to the runtime execution environment, the untrusted code being configured to perform one or more functions using the machine learning model; receive a set of untrusted code supplied by a second tenant; perform a security scan of the untrusted code to determine whether the untrusted code satisfies the security requirement(s); and responsive to determining that the untrusted code does not satisfy the security requirement(s): refraining from deploying the untrusted code to a runtime execution environment.
    Type: Application
    Filed: September 26, 2024
    Publication date: January 16, 2025
    Applicant: Oracle International Corporation
    Inventors: Madalasa Venkataraman, Paul Deepakraj Retinraj, Pradeep Sanchana, Rohit Sukumaran, Oleksandr Khimich
  • Secure modular machine learning platform
    Patent number: 12124564
    Abstract: A secure, modular multi-tenant machine learning platform is configured to: receive untrusted code supplied by a first tenant; perform a security scan of the untrusted code to determine whether the untrusted code satisfies a set of one or more security requirements; responsive to determining that the untrusted code satisfies the security requirement(s): deploy the untrusted code to a runtime execution environment; deploy a machine learning model associated with the first tenant to the runtime execution environment, the untrusted code being configured to perform one or more functions using the machine learning model; receive a set of untrusted code supplied by a second tenant; perform a security scan of the untrusted code to determine whether the untrusted code satisfies the security requirement(s); and responsive to determining that the untrusted code does not satisfy the security requirement(s): refraining from deploying the untrusted code to a runtime execution environment.
    Type: Grant
    Filed: July 21, 2022
    Date of Patent: October 22, 2024
    Assignee: Oracle International Corporation
    Inventors: Madalasa Venkataraman, Paul Deepakraj Retinraj, Pradeep Sanchana, Rohit Sukumaran, Oleksandr Khimich
  • SECURE MODULAR MACHINE LEARNING PLATFORM
    Publication number: 20230334145
    Abstract: A secure, modular multi-tenant machine learning platform is configured to: receive untrusted code supplied by a first tenant; perform a security scan of the untrusted code to determine whether the untrusted code satisfies a set of one or more security requirements; responsive to determining that the untrusted code satisfies the security requirement(s): deploy the untrusted code to a runtime execution environment; deploy a machine learning model associated with the first tenant to the runtime execution environment, the untrusted code being configured to perform one or more functions using the machine learning model; receive a set of untrusted code supplied by a second tenant; perform a security scan of the untrusted code to determine whether the untrusted code satisfies the security requirement(s); and responsive to determining that the untrusted code does not satisfy the security requirement(s): refraining from deploying the untrusted code to a runtime execution environment.
    Type: Application
    Filed: July 21, 2022
    Publication date: October 19, 2023
    Applicant: Oracle International Corporation
    Inventors: Madalasa Venkataraman, Paul Deepakraj Retinraj, Pradeep Sanchana, Rohit Sukumaran, Oleksandr Khimich