ALEXANDRIA, Va., June 2 -- United States Patent no. 12,647,435, issued on June 2, was assigned to Palo Alto Networks Inc. (Santa Clara, Calif.).
"Detection of user anomalies for software as a service application traffic with high and low variance feature modeling" was invented by Muhammad Aurangzeb Akhtar (Santa Clara, Calif.).
According to the abstract* released by the U.S. Patent & Trademark Office: "Low variance clustering models and high variance clustering models comprising low and high variance features of user Software as a Service application traffic detect anomalous user behavior and, when risk thresholds are exceeded, trigger behavioral alerts. The low and high variance clustering models are trained with feature vectors that are...