Why Validation Drives Real Risk Reduction

This report argues that AI will dramatically increase the number of discovered vulnerabilities but that real risk reduction requires validating exploitability, routing and fixing root causes, and verifying remediations; without that closed loop discovery simply becomes a backlog. Examples from Mozilla and a UK insurer illustrate the difference between confirmed defects and materially exploitable issues, and the piece promotes Continuous Threat Exposure Management and Return on Mitigation as operational frameworks to ensure AI-driven findings translate into measurable risk reduction.