The Rise of Agentic AI Security

Show Notes

As AI evolves from content generation into autonomous agents executing real actions, the security landscape is fundamentally shifting.

In this chapter, Ken Wong breaks down why agentic AI introduces new risks, from expanded attack surfaces to non‑deterministic behavior, and why enterprises must rethink security frameworks, identity models, and governance to safely deploy these systems at scale.

• Agentic AI expands attack surfaces through tool access and autonomous actions.
• Deterministic control planes are critical for managing probabilistic AI behavior.
• Threat modeling, risk scoring, and red teaming must evolve for AI agents.
• Defining agent identity is essential for access control and incident response.
• Vertical, domain‑specific agents reduce risk compared to general-purpose systems.