US Patent Issued on April 22 for "System and method for automatically detecting a security vulnerability in a source code using a machine learning model" (Texas Inventors)

ALEXANDRIA, Va., June 6 -- United States Patent no. 12,282,563, issued on April 22.

"System and method for automatically detecting a security vulnerability in a source code using a machine learning model" was invented by Jeff Olson (Austin, Texas) and Matthew Kindy II (Austin, Texas).

According to the abstract* released by the U.S. Patent & Trademark Office: "There is disclosed a method of automatically detecting a security vulnerability in a source code using a machine learning model, characterized in that the method comprises: obtaining the source code from a client codebase, wherein the client codebase is a complete or an incomplete body of the source code for a given software program or an application; and using a machine learning (ML...