ALEXANDRIA, Va., March 24 -- United States Patent no. 12,586,022, issued on March 24, was assigned to Binarly Inc (Santa Monica, Calif.).
"Machine learning-based approach to characterize software supply chain risk" was invented by Alexander Matrosov (Santa Monica, Calif.), Sam Lloyd Thomas (Birmingham, Great Britain) and Yegor Vasilenko (Cambridge, Great Britain).
According to the abstract* released by the U.S. Patent & Trademark Office: "A software package is received and unpacked into a plurality of components. Features are extracted from each component which are indicative (i.e., useful, etc.) in determining whether such component presents a software supply chain risk. The extracted features are consumed by one or more machine learning...