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Identity Governance for AI Agents in Zero Trust Architecture

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1 unique sources, 1 articles

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AI agents operating under inherited credentials without clear identity governance pose a significant risk in Zero Trust environments. Organizations must apply the NIST AI Risk Management Framework (AI RMF) through a Zero Trust lens with identity at the core to manage these risks. AI agents often operate without a registered owner or identity governance, violating Zero Trust principles. This leads to a growing population of untrusted agents in the infrastructure, increasing security risks. Organizations need to establish unique, managed identities for AI agents, clear ownership, intent-based permission schemes, and lifecycle management to transform AI agents into governed entities.

Timeline

  1. 23.10.2025 17:15 1 articles · 23h ago

    AI Agents Lacking Identity Governance Pose Risks in Zero Trust Environments

    AI agents operating without clear identity governance violate Zero Trust principles, posing significant security risks. Organizations must apply the NIST AI Risk Management Framework (AI RMF) through a Zero Trust lens with identity at the core to manage these risks. AI agents often operate under inherited credentials without a registered owner or identity governance, leading to a growing population of untrusted agents in the infrastructure.

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Information Snippets

  • AI agents often operate under inherited credentials without clear identity governance, violating Zero Trust principles.

    First reported: 23.10.2025 17:15
    1 source, 1 article
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  • AI agents can act as backdoors for attackers or exfiltrate sensitive data if over-permissioned.

    First reported: 23.10.2025 17:15
    1 source, 1 article
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  • The NIST AI Risk Management Framework (AI RMF) provides a guide to managing AI risk across four functions: Map, Measure, Manage, and Govern.

    First reported: 23.10.2025 17:15
    1 source, 1 article
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  • Identity governance is crucial for managing AI agents in a Zero Trust environment.

    First reported: 23.10.2025 17:15
    1 source, 1 article
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