Patents by Inventor Anying Li

Anying Li 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).

  • Self-learning cybersecurity threat detection system, method, and computer program for multi-domain data
    Patent number: 11178168
    Abstract: The present disclosure describes a self-learning system, method, and computer program for detecting cybersecurity threats in a computer network based on anomalous user behavior and multi-domain data. A computer system tracks user behavior during a user session across multiple data domains. For each domain observed in a user session, a domain risk is calculated. The user's session risk is then calculated as the weighted sum of the domain risks. A domain risk is based on individual event-level risk probabilities and a session-level risk probability from the domain. The individual event-level risk probabilities and a session-level risk probability for a domain are derived from user events of the domain during the session and are based on event-feature indicators and session-feature indicators for the domain.
    Type: Grant
    Filed: December 19, 2019
    Date of Patent: November 16, 2021
    Assignee: Exabeam, Inc.
    Inventors: Derek Lin, Anying Li, Ryan Foltz, Domingo Mihovilovic, Sylvain Gil, Barry Steiman