ALEXANDRIA, Va., April 21 -- United States Patent no. 12,609,909, issued on April 21, was assigned to Micro Focus LLC (Austin, Texas).
"Training machine learning algorithm(s) to identify leaks of sensitive information" was invented by Douglas Max Grover (Rigby, Idaho), Michael F. Angelo (Houston) and Michael A. Aday (Carrollton, Texas).
According to the abstract* released by the U.S. Patent & Trademark Office: "A trained machine learning algorithm receives input data that may contain sensitive information. For example, the input data may be top secret military specifications that are sent as an attachment in an email that is being sent outside of a government computer network. The trained machine learning algorithm is trained with one of:...