Zero Trustfor AI Agents

2026

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AI-generated summary

1) This document provides a comprehensive Zero Trust security framework for deploying autonomous AI agents in enterprise environments, addressing the evolving threat landscape and the unique challenges posed by AI.
2) * Explores the principles of Zero Trust and its application to agentic systems, including identity, access control, and resource management.
* Details current threats to agentic systems, such as prompt injection, tool misuse, and supply chain risks, and outlines defensive strategies.
* Offers a phased implementation workflow, from identifying requirements to securing agent credentials and establishing defensive operations at machine speed.
3) Zero Trust, AI Agents, Cybersecurity, Security Framework, Autonomous Systems

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