US Patent Issued to Sophos on Dec. 16 for "Fuzz testing of machine learning models to detect malicious activity on a computer" (Canadian, American Inventors)

ALEXANDRIA, Va., Dec. 16 -- United States Patent no. 12,500,925, issued on Dec. 16, was assigned to Sophos Ltd. (Abingdon, Great Britain).

"Fuzz testing of machine learning models to detect malicious activity on a computer" was invented by Mehdi Karimibiuki (Vancouver, Canada) and Craig Paradis (Burlington, Mass.).

According to the abstract* released by the U.S. Patent & Trademark Office: "An example method can include, obtaining information about a machine learning (ML) model configured to detect malicious activity on a computer system, wherein the information includes one or more of a model type of the ML model, an output type of the ML model, or a type of malicious activity that the model is trained to detect, receiving a training data...