US Patent Issued to Netskope on March 4 for "Machine learning based anomaly detection initialization" (California Inventors)

ALEXANDRIA, Va., March 5 -- United States Patent no. 12,244,617, issued on March 4, was assigned to Netskope Inc. (Santa Clara, Calif.).

"Machine learning based anomaly detection initialization" was invented by Jeevan Tambuluri (Santa Clara, Calif.), Ravi Ithal (Los Altos, Calif.), Steve Malmskog (San Jose, Calif.), Abhay Kulkarni (Cupertino, Calif.), Ariel Faigon (Santa Clara, Calif.) and Krishna Narayanaswamy (Saratoga, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "The technology relates to machine responses to anomalies detected using machine learning based anomaly detection. In particular, to receiving evaluations of production events, prepared using activity models constructed on per-tenant and ...