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  5. Agentic AI and NHIs: Why authorization is a must-have

FAQ

Non-human identities (NHIs) are digital identities used by machines rather than people. They include service accounts, workloads, API keys, certificates, applications, and AI agents that authenticate to and interact with enterprise systems. As organizations adopt agentic AI, AI agents are becoming one of the fastest-growing types of non-human identities.

Like service accounts or applications, AI agents interact with systems autonomously using digital credentials rather than human users. They may access APIs, retrieve data, invoke tools, or perform actions on behalf of users, making them identities that require the same governance, authentication, and authorization controls as any other enterprise identity.

Zero Trust requires every access request to be verified continuously rather than trusted by default. Policy-driven authorization supports this approach by making runtime authorization decisions based on identity, resource, action, and contextual attributes, ensuring AI agents operate with least-privilege access throughout their lifecycle.

Agentic AI systems can interact with multiple applications, APIs, and data sources at machine speed. Granting broad or persistent permissions increases the potential impact of compromised credentials or unintended AI behavior. Applying least-privilege principles ensures AI agents receive only the access required for their current task, reducing security risk.

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