US Patent Issued to Netskope on Oct. 27 for "Customizable deep learning to prevent data loss of image borne sensitive documents" (California Inventors)

ALEXANDRIA, Va., Oct. 27 -- United States Patent no. 12,775,848, issued on Oct. 27, was assigned to Netskope Inc. (Santa Clara, Calif.).

"Customizable deep learning to prevent data loss of image borne sensitive documents" was invented by Xiaolin Wang (San Jose, Calif.), Siying Yang (San Jose, Calif.), Krishna Narayanaswamy (Saratoga, Calif.) and Yi Zhang (Santa Clara, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Disclosed are methods and systems for customizing a deep learning ("DL") stack to detect organization sensitive data in images, referred to as image-borne organization sensitive documents, and protecting against loss of the image-borne organization sensitive documents. The methods and system...