Continuous Security Testing for AI: Why Prepared CISOs Use 7 Methods

The report summarizes HackerOne survey findings and argues that rapid AI adoption is outpacing security coverage, recommending a continuous, multi-method testing approach across the AI lifecycle. It describes seven complementary methods—AI red teaming, automated adversarial testing, model security scanning, agent oversight/guardrails, AI system monitoring, external AI-focused testing, and bug bounties—and explains how to integrate them into pre-release prevention, adversarial validation, and post-release discovery loops to operationalize AI security.