Forcepoint LLC

Forcepoint Federal Holdings LLC

Benjamin Shih

Ann Irvine

Russell Snyder

Richard Anthony Ford

Adam Reeve

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.

Gracefully handling endpoint feedback when starting to monitor

A mechanism for probabilistically determining the contents of an encrypted file is provided, such that a transfer of the encrypted file can be restricted according to rules associated with an unencrypted version of the file. Embodiments generate a file size table of a subset of files, where each entry of the file size table includes a size information regarding the unencrypted file. Embodiments compare the size of the encrypted file against the file sizes and compressed file size ranges to determine whether the encrypted file has a match. If the size of the encrypted file has a single match in the table, then there is a high probability that the file associated with the matching entry is the unencrypted version of the encrypted file. Rules associated with restricting access of the file related to the matching entry can be used to control transfer of the encrypted file.

Method, system, and apparatus for probabilistic identification of encrypted files

A method, system and computer-usable medium for performing a risk score volatility reduction operation, comprising: collecting event data associated with user behavior of a user; generating a scoring interval risk score for the user for a current risk scoring interval; and, processing the scoring interval risk score of the current risk scoring interval with a scoring interval risk score from a prior risk scoring window to provide a scoring window risk score, the scoring window risk score reducing volatility of a risk score associated with the user.

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Baltimore, MD, United States of America

Benjamin Shih