US Patent Issued on May 5 for "Optimizing accuracy of security alerts based on data classification" (Israeli Inventors)

ALEXANDRIA, Va., May 5 -- United States Patent no. 12,619,733, issued on May 5.

"Optimizing accuracy of security alerts based on data classification" was invented by Andrey Karpovsky (Kiryat Motzkin, Israel), Sagi Lowenhardt (Hertzeliya, Israel) and Shimon Ezra (Petach Tikva, Israel).

According to the abstract* released by the U.S. Patent & Trademark Office: "A computing system and method for training one or more machine-learning models to perform anomaly detection. A training dataset is accessed. An overall sensitivity score is determined that indicates an amount of sensitive data in the training dataset. Machine-learning models are trained based on the training dataset and the overall sensitivity score. The machine-learning models use t...