US Patent Issued to Binarly on March 31 for "Machine learning approach to identify software supply chain vulnerabilities from binary code similarity detection" (British, American Inventors)

ALEXANDRIA, Va., March 31 -- United States Patent no. 12,591,830, issued on March 31, was assigned to Binarly Inc (Santa Monica, Calif.).

"Machine learning approach to identify software supply chain vulnerabilities from binary code similarity detection" 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 c...