Patents by Inventor Mingran Li

Mingran 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).

  • Patent number: 12625993
    Abstract: One or more event logs are received. The one or more event logs are analyzed using a plurality of models to detect one or more anomalous events. A graphical representation of risk entities associated with at least one of the one or more detected anomalous events is provided. A visual representation of automatically detected relationships between the risk entities associated with the at least one of the one or more detected anomalous events is provided in the graphical representation. Indications of measures of anomaly associated with detected anomalous events are provided for the associated risk entities.
    Type: Grant
    Filed: December 12, 2023
    Date of Patent: May 12, 2026
    Assignee: Cohesity, Inc.
    Inventors: Colin Scott Johnson, Mingran Li
  • Publication number: 20240126910
    Abstract: One or more event logs are received. The one or more event logs are analyzed using a plurality of models to detect one or more anomalous events. A graphical representation of risk entities associated with at least one of the one or more detected anomalous events is provided. A visual representation of automatically detected relationships between the risk entities associated with the at least one of the one or more detected anomalous events is provided in the graphical representation. Indications of measures of anomaly associated with detected anomalous events are provided for the associated risk entities.
    Type: Application
    Filed: December 12, 2023
    Publication date: April 18, 2024
    Inventors: Colin Scott Johnson, Mingran Li
  • Patent number: 11893125
    Abstract: One or more event logs are received. The one or more event logs are analyzed using a plurality of models to detect one or more anomalous events. A graphical representation of risk entities associated with at least one of the one or more detected anomalous events is provided. A visual representation of automatically detected relationships between the risk entities associated with the at least one of the one or more detected anomalous events is provided in the graphical representation. Indications of measures of anomaly associated with detected anomalous events are provided for the associated risk entities.
    Type: Grant
    Filed: October 14, 2021
    Date of Patent: February 6, 2024
    Assignee: Cohesity, Inc.
    Inventors: Colin Scott Johnson, Mingran Li
  • Publication number: 20230117120
    Abstract: One or more event logs are received. The one or more event logs are analyzed using a plurality of models to detect one or more anomalous events. A graphical representation of risk entities associated with at least one of the one or more detected anomalous events is provided. A visual representation of automatically detected relationships between the risk entities associated with the at least one of the one or more detected anomalous events is provided in the graphical representation. Indications of measures of anomaly associated with detected anomalous events are provided for the associated risk entities.
    Type: Application
    Filed: October 14, 2021
    Publication date: April 20, 2023
    Inventors: Colin Scott Johnson, Mingran Li