Patents Assigned to Forcepoint Federal Holdings LLC
  • Patent number: 11797313
    Abstract: Systems, method, and non-transitory computer readable storage medium are provided for configuring an information computing machine during execution of a kernel image. The system can create a file system from a base file system image in system memory of the computing system, apply configuration files from a bundle image to the file system in memory, copy files from a persistent file system stored in the storage resource to memory, validate the files from the persistent file system, and apply validated files to the file system in memory. The base file system image and bundle image can be verified by comparing a signed hash of the image with a hash generated by the initial file system and checking the hash signature against a public certificate included in the initial filesystem. The system can further execute /sbin/init and start application services.
    Type: Grant
    Filed: July 6, 2020
    Date of Patent: October 24, 2023
    Assignee: FORCEPOINT FEDERAL HOLDINGS LLC
    Inventors: Mickey J. Malone, II, Jacob Minnis
  • Patent number: 11704437
    Abstract: A method, system and computer-usable medium for adaptively assessing risk associated with an endpoint, comprising: determining a risk level corresponding to an entity associated with an endpoint; selecting a frequency and a duration of an endpoint monitoring interval; collecting user behavior to collect user behavior associated with the entity for the duration of the endpoint monitoring interval via the endpoint; processing the user behavior to generate a current risk score for the entity; comparing the current risk score of the user to historical risk scores to determine whether a risk score of a user has changed; and changing the risk score of the user to the current risk score when the risk score of the user has changed.
    Type: Grant
    Filed: April 25, 2022
    Date of Patent: July 18, 2023
    Assignee: Forcepoint Federal Holdings LLC
    Inventors: Richard A. Ford, Ann Irvine, Adam Reeve, Russell Snyder, Benjamin Shih