US Patent Issued to Rapid7 on Sept. 8 for "Refining a machine learning model for calculating confidence scores associated with potential security vulnerabilities" (British Inventors)

ALEXANDRIA, Va., Sept. 8 -- United States Patent no. 12,730,896, issued on Sept. 8, was assigned to Rapid7 Inc. (Boston).

"Refining a machine learning model for calculating confidence scores associated with potential security vulnerabilities" was invented by Stuart Millar (Belfast, Great Britain) and Denis Podgurskii (Belfast, Great Britain).

According to the abstract* released by the U.S. Patent & Trademark Office: "Various embodiments include systems and methods of implementing a machine learning (ML) model for calculating confidence scores associated with potential security vulnerabilities. In some embodiments, the ML model may be used to determine a confidence score for a particular potential security vulnerability. According to some ...