ALEXANDRIA, Va., Oct. 8 -- United States Patent no. 12,438,891, issued on Oct. 7.
"Anomaly detection based on ensemble machine learning model" was invented by Sudhakar Muddu (Cupertino, Calif.), Christos Tryfonas (San Francisco), Joseph Auguste Zadeh (Sunnyvale, Calif.), Alexander Beebe Bond (Union City, Calif.) and Ashwin Athalye (San Jose, Calif.).
According to the abstract* released by the U.S. Patent & Trademark Office: "A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is "big data" driven and employs machine learning to perform security analytics. The security platform performs user/entity behavioral analytics (UEB...