US Patent Issued to Netskope on May 19 for "Machine learning-based encrypted file classification for identifying encrypted data movement" (American, British Inventors)

ALEXANDRIA, Va., May 19 -- United States Patent no. 12,632,572, issued on May 19, was assigned to Netskope Inc. (Santa Clara, Calif.).

"Machine learning-based encrypted file classification for identifying encrypted data movement" was invented by Yi Zhang (Santa Clara, Calif.), Siying Yang (Saratoga, Calif.), Yihua Liao (Palo Alto, Calif.), Dagmawi Mulugeta (London), Raymond Joseph Canzanese Jr. (Philadelphia) and Ari Azarafrooz (Rancho Santa Margarita, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "The disclosed technology facilitates User and Entity Behavior Analytics (UEBA) by classifying a file being transferred as encrypted or not. The technology involves monitoring movement of a files by a user o...