US Patent Issued to SENTINELONE on Nov. 11 for "Classifying cybersecurity threats using machine learning on non-euclidean data" (Israeli Inventors)

ALEXANDRIA, Va., Nov. 11 -- United States Patent no. 12,468,810, issued on Nov. 11, was assigned to SENTINELONE INC. (Mountain View, Calif.).

"Classifying cybersecurity threats using machine learning on non-euclidean data" was invented by Ido Kotler (Tel Aviv, Israel), Gal Braun (Ness Ziona, Israel), Dean Langsam (Ness Ziona, Israel) and Guy Jacoby (Ness Ziona, Israel).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems, methods, and devices for cybersecurity are disclosed herein that can employ machine learning approaches with a better understanding of the complex relationships and sequencing associated with behavior-based data, and that can effectively apply machine learning for behavior-based analysis, ...