US Patent Issued to Proofpoint on Jan. 27 for "Using a machine learning system to process a corpus of documents associated with a user to determine a user-specific and/or process-specific consequence index" (Utah, North Carolina Inventors)

ALEXANDRIA, Va., Jan. 28 -- United States Patent no. 12,536,235, issued on Jan. 27, was assigned to Proofpoint Inc. (Sunnyvale, Calif.).

"Using a machine learning system to process a corpus of documents associated with a user to determine a user-specific and/or process-specific consequence index" was invented by Daniel Wallace Rapp (Highland, Utah), Brian Sanford Jones (Cary, N.C.) and Spencer Bror Koehler (Sandy, Utah).

According to the abstract* released by the U.S. Patent & Trademark Office: "Aspects of the disclosure relate to using a machine learning system to process a corpus of documents associated with a user to determine a user-specific consequence index. A computing platform may load a corpus of documents associated with a user....