US Patent Issued to Rapid7 on May 27 for "Automated generation of anomaly scenarios for testing machine learned anomaly detection models" (American, French Inventors)

ALEXANDRIA, Va., June 17 -- United States Patent no. 12,314,385, issued on May 27, was assigned to Rapid7 Inc. (Boston).

"Automated generation of anomaly scenarios for testing machine learned anomaly detection models" was invented by Jocelyn Beauchesne (Saint-Lormel, France), John Lim Oh (Mukilteo, Wash.), Vasudha Shivamoggi (Cambridge, Mass.) and Roy Donald Hodgman (Cambridge, Mass.).

According to the abstract* released by the U.S. Patent & Trademark Office: "An anomaly detection system is disclosed capable of reporting anomalous processes or hosts in a computer network using machine learning models trained using unsupervised training techniques. In embodiments, the system assigns observed processes to a set of process categories based o...