Verification Before Trust: Rethinking AI Deployment in Security Audits

Organizations often deploy LLMs in security auditing while blindly trusting their outputs—a critical vulnerability overlooked in most AI adoption strategies. This article reveals that AI's actual value lies not in independent vulnerability detection, but in accelerating routine mapping and hypothesis generation. By presenting a verification-first framework where every AI claim must survive human validation, it redefines auditors as validators rather than passive consumers of automated systems.