ML Tool Spots 80% of Vulnerability-Inducing Commits Ahead of Time

This article outlines a machine-learning approach that predicts vulnerable code changes before submission, demonstrates high precision on large open-source datasets, and calls for community-wide sharing of developer credibility data to strengthen software supply-chain security.