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Applying the Zero Trust Model to Manage Agentic AI Risks

Agentic AI introduces risks that are novel and complex, but the most effective response is a familiar one. Zero Trust answers the problem of when an AI agent misfires on its own by constraining what an agent can do rather than betting on how it will behave.

12 minute read September 01, 2026 at 01:24 AM
By
Matt Kelly , Kim T. Le and Alexander Franchilli
Applying the Zero Trust Model to Manage Agentic AI Risks

Agentic AI presents risks that are novel, fast-evolving, and exponentially more complex than those posed by earlier AI technologies.

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