When AI Agents Won’t Take No for an Answer: Why Access Control Is No Longer Enough
For decades, cybersecurity has focused on a familiar question: who or what is allowed in? Identity, authentication, authorization, and least privilege remain essential. But autonomous AI agents introduce a harder question: what happens after an authorized system gets in and begins making decisions on its own?
AI agent can have a valid identity, legitimate credentials, and approved permissions, yet still take an action the organization never intended. A denied path may become something to route around. A permitted capability may be used in an unexpected sequence. The security challenge is no longer just controlling access. It is increasingly about controlling intent, behavior, and action.
This carousel looks at that emerging control problem and the security architecture needed around agentic systems: Identity → Authorization → Intent → Action → Observation → Intervention. The board-level question is simple, but uncomfortable: Can our AI agents technically do something that our policies say they should never do?
