Patents by Inventor Madhavi Kavathekar

Madhavi Kavathekar 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).

  • Patent number: 12015625
    Abstract: A cloud security system and method implements cloud activity threat detection using analysis of cloud usage user behavior. In particular, the cloud security system and method implements threat detection for users, cloud service providers, or tenants (enterprises) of the cloud security system who are new or unknown to the cloud security system and therefore lacking sufficient cloud activity data to generate an accurate behavior model for effective threat detection. In accordance with embodiments of the present invention, the cloud security system and method performs user behavior analysis to generate generalized user behavior models for user groups, where each user group includes users with similar cloud usage behavior. The user behavior models of the user groups are assigned to users with sparse cloud activity data. In this manner, the cloud security system and method of the present invention ensures effective threat detection by using accurate and reliable user behavior models.
    Type: Grant
    Filed: January 13, 2023
    Date of Patent: June 18, 2024
    Assignee: Skyhigh Security LLC
    Inventors: Sandeep Chandana, Santosh Raghuram Kumar, Sekhar Sarukkai, Satyanarayana Vummidi, Madhavi Kavathekar, Vinay Gupta
  • Publication number: 20230247036
    Abstract: A cloud security system and method implements cloud activity threat detection using analysis of cloud usage user behavior. In particular, the cloud security system and method implements threat detection for users, cloud service providers, or tenants (enterprises) of the cloud security system who are new or unknown to the cloud security system and therefore lacking sufficient cloud activity data to generate an accurate behavior model for effective threat detection. In accordance with embodiments of the present invention, the cloud security system and method performs user behavior analysis to generate generalized user behavior models for user groups, where each user group includes users with similar cloud usage behavior. The user behavior models of the user groups are assigned to users with sparse cloud activity data. In this manner, the cloud security system and method of the present invention ensures effective threat detection by using accurate and reliable user behavior models.
    Type: Application
    Filed: January 13, 2023
    Publication date: August 3, 2023
    Inventors: Sandeep Chandana, Santosh Raghuram Kumar, Sekhar Sarukkai, Satyanarayana Vummidi, Madhavi Kavathekar, Vinay Gupta
  • Patent number: 11558411
    Abstract: A cloud security system and method implements cloud activity threat detection using analysis of cloud usage user behavior. In particular, the cloud security system and method implements threat detection for users, cloud service providers, or tenants (enterprises) of the cloud security system who are new or unknown to the cloud security system and therefore lacking sufficient cloud activity data to generate an accurate behavior model for effective threat detection. In accordance with embodiments of the present invention, the cloud security system and method performs user behavior analysis to generate generalized user behavior models for user groups, where each user group includes users with similar cloud usage behavior. The user behavior models of the user groups are assigned to users with sparse cloud activity data. In this manner, the cloud security system and method of the present invention ensures effective threat detection by using accurate and reliable user behavior models.
    Type: Grant
    Filed: December 22, 2020
    Date of Patent: January 17, 2023
    Assignee: Skyhigh Security LLC
    Inventors: Sandeep Chandana, Santosh Raghuram Kumar, Sekhar Sarukkai, Satyanarayana Vummidi, Madhavi Kavathekar, Vinay Gupta
  • Publication number: 20210112086
    Abstract: A cloud security system and method implements cloud activity threat detection using analysis of cloud usage user behavior. In particular, the cloud security system and method implements threat detection for users, cloud service providers, or tenants (enterprises) of the cloud security system who are new or unknown to the cloud security system and therefore lacking sufficient cloud activity data to generate an accurate behavior model for effective threat detection. In accordance with embodiments of the present invention, the cloud security system and method performs user behavior analysis to generate generalized user behavior models for user groups, where each user group includes users with similar cloud usage behavior. The user behavior models of the user groups are assigned to users with sparse cloud activity data. In this manner, the cloud security system and method of the present invention ensures effective threat detection by using accurate and reliable user behavior models.
    Type: Application
    Filed: December 22, 2020
    Publication date: April 15, 2021
    Inventors: Sandeep Chandana, Santosh Raghuram Kumar, Sekhar Sarukkai, Satyanarayana Vummidi, Madhavi Kavathekar, Vinay Gupta
  • Patent number: 10911474
    Abstract: A cloud security system and method implements cloud activity threat detection using analysis of cloud usage user behavior. In particular, the cloud security system and method implements threat detection for users, cloud service providers, or tenants (enterprises) of the cloud security system who are new or unknown to the cloud security system and therefore lacking sufficient cloud activity data to generate an accurate behavior model for effective threat detection. In accordance with embodiments of the present invention, the cloud security system and method performs user behavior analysis to generate generalized user behavior models for user groups, where each user group includes users with similar cloud usage behavior. The user behavior models of the user groups are assigned to users with sparse cloud activity data. In this manner, the cloud security system and method of the present invention ensures effective threat detection by using accurate and reliable user behavior models.
    Type: Grant
    Filed: May 13, 2019
    Date of Patent: February 2, 2021
    Assignee: Skyhigh Networks, LLC
    Inventors: Sandeep Chandana, Santosh Raghuram Kumar, Sekhar Sarukkai, Satyanarayana Vummidi, Madhavi Kavathekar, Vinay Gupta
  • Publication number: 20190373006
    Abstract: A cloud security system and method implements cloud activity threat detection using analysis of cloud usage user behavior. In particular, the cloud security system and method implements threat detection for users, cloud service providers, or tenants (enterprises) of the cloud security system who are new or unknown to the cloud security system and therefore lacking sufficient cloud activity data to generate an accurate behavior model for effective threat detection. In accordance with embodiments of the present invention, the cloud security system and method performs user behavior analysis to generate generalized user behavior models for user groups, where each user group includes users with similar cloud usage behavior. The user behavior models of the user groups are assigned to users with sparse cloud activity data. In this manner, the cloud security system and method of the present invention ensures effective threat detection by using accurate and reliable user behavior models.
    Type: Application
    Filed: May 13, 2019
    Publication date: December 5, 2019
    Inventors: Sandeep Chandana, Santosh Raghuram Kumar, Sekhar Sarukkai, Satyanarayana Vummidi, Madhavi Kavathekar, Vinay Gupta
  • Patent number: 10291638
    Abstract: A cloud security system and method implements cloud activity threat detection using analysis of cloud usage user behavior. In particular, the cloud security system and method implements threat detection for users, cloud service providers, or tenants (enterprises) of the cloud security system who are new or unknown to the cloud security system and therefore lacking sufficient cloud activity data to generate an accurate behavior model for effective threat detection. In accordance with embodiments of the present invention, the cloud security system and method performs user behavior analysis to generate generalized user behavior models for user groups, where each user group includes users with similar cloud usage behavior. The user behavior models of the user groups are assigned to users with sparse cloud activity data. In this manner, the cloud security system and method of the present invention ensures effective threat detection by using accurate and reliable user behavior models.
    Type: Grant
    Filed: September 8, 2016
    Date of Patent: May 14, 2019
    Assignee: Skyhigh Networks, LLC
    Inventors: Sandeep Chandana, Santosh Raghuram Kumar, Sekhar Sarukkai, Satyanarayana Vummidi, Madhavi Kavathekar, Vinay Gupta