The 4-Level Maturity Model for Autonomous AI Governance (Part 2)

In Part 1, we established why autonomous agents break traditional, deterministic security controls. You cannot patch or firewall your way out of probabilistic software behavior; you can only build architectural resilience.

In Part 2, we pivot from the problem to the solution. If your organization is deploying agentic workflows, you need a realistic, defensible framework to evaluate your readiness and contain the blast radius before a rogue agent impacts production. We break down the 4-Level Agentic AI Security Maturity Model, map it directly to the core functions of the NIST AI Risk Management Framework (AI RMF), and outline the 7 critical diagnostic questions every IT and business leader must ask before granting autonomous agents access to production tools and data.