Is Your AI Security Agent Finding New Bugs or Just Reciting CVE History?

As LLMs become integral to cybersecurity, distinguishing between genuine code reasoning and training data recall is critical to avoid false positives. This trend highlights a growing need for automated verification workflows that cross-reference AI findings with historical databases. Understanding this distinction prevents security teams from wasting resources on 'new' bugs that were actually patched years ago.