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Zero Trust Principles Extended to AI Agents

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1 unique sources, 1 articles

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Organizations adopting AI assistants and autonomous agents are expanding their attack surface due to inadequate security frameworks. The Zero Trust model must be extended to AI agents, treating them as first-class identities with unique, auditable identities, least-privilege access, and continuous monitoring to prevent excessive agency and potential security breaches. AI agents, acting autonomously at machine speed, require dynamic, contextual enforcement of security policies to ensure safe and accountable operations.

Timeline

  1. 12.11.2025 17:25 1 articles · 23h ago

    Zero Trust Principles Extended to AI Agents

    Organizations are expanding their attack surface by adopting AI assistants and autonomous agents without adequate security frameworks. The Zero Trust model must be extended to AI agents, treating them as first-class identities with unique, auditable identities, least-privilege access, and continuous monitoring to prevent excessive agency and potential security breaches. AI agents, acting autonomously at machine speed, require dynamic, contextual enforcement of security policies to ensure safe and accountable operations.

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