NIST NCCoE Four Focus Areas → AuthZ Controls

NIST NCCoE’s February 2026 concept paper on software and AI agent identity and authorization highlights identification, authorization, access delegation, and logging as key areas for securing AI agents, while seeking feedback rather than establishing a standard or certification framework. The proposed engineering mapping calls for each agent to have a distinct non-human identity, narrowly scoped policy-based permissions, explicit and revocable human-to-agent delegation grants, and detailed decision logs that record the agent, human principal, tool, resource, action, tenant, policy rationale, and allow-or-deny outcome. Because agents can invoke tools, access changing contexts, and operate with partial autonomy, authorization decisions should be fine-grained across resources, tenants, environments, relationships, and approval states, with controls such as trust ceilings and human-in-the-loop review for high-risk actions. The guidance is intended as a design-review aid, particularly for MCP and tool-calling systems, emphasizing that agents should be treated as privileged identities and that application-level policy enforcement must occur before tools execute.

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