ALEXANDRIA, Va., June 17 -- United States Patent no. 12,314,360, issued on May 27, was assigned to Microsoft Technology Licensing LLC (Redmond, Wash.).

"Supervised learning system for identity compromise risk computation" was invented by Sayed Hassan Abdelaziz (Redmond, Wash.), Maria Puertas Calvo (Seattle), Laurentiu Bogdan Cristofor (Redmond, Wash.) and Rajat Luthra (Redmond, Wash.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems are provided for improving computer security systems that are based on user risk scores. These systems can be used to improve both the accuracy and usability of the user risk scores by applying multiple tiers of machine learning to different the user risk profile components ...