Choosing the Right AI Testing Approach for Every Adoption Stage

This report outlines an AI Security Readiness Framework that maps four maturity levels to recommended assessment approaches—add-on AI/LLM pentests for early adoption, standalone pentests plus AI red teaming for expanding risk, combined red teaming with bug bounties for agentic systems, and continuous testing programs for mission-critical AI—describing goals, example checks, evidence produced, and suggested best practices for securing AI deployments.