US Patent Issued to SentinelOne on March 17 for "Systems and methods of data selection for iterative training using zero knowledge clustering" (California Inventors)

ALEXANDRIA, Va., March 17 -- United States Patent no. 12,579,268, issued on March 17, was assigned to SentinelOne Inc. (Mountain View, Calif.).

"Systems and methods of data selection for iterative training using zero knowledge clustering" was invented by Idan Ludmir (Mountain View, Calif.), Moshe Strenger (Mountain View, Calif.), Shlomi Salem (Mountain View, Calif.) and Tzlil Gonen (Mountain View, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method may select, from a training data repository comprising a plurality of samples with known classifications, an initial training dataset comprising a second plurality of samples. A method may provide, as an input to a classification model, feature vectors ...