Give every AI agent that can use company tools or access company data a verifiable identity, only the authority its current task needs, and an auditable path for every action. Treat agent access as an identity-and-access-management problem—not as a feature that can be trusted simply because a person started the workflow.
Why an AI agent needs governance beyond a text assistant
A text-only assistant can still mishandle sensitive information, but an agent that can call APIs, read files, change records, send messages, or delegate work can affect systems directly. Its identity determines what can be attributed to it; its authorization determines what it is allowed to do. Both need to be controlled independently of the user’s initial request.
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NIST’s National Cybersecurity Center of Excellence (NCCoE) describes the risks in direct terms: “Without strong identity, authorization, and governance, organizations risk data leaks, compliance failures, prompt injection, and unpredictable autonomous behavior.” Those risks are not limited to a model’s answers: they can arise when an agent acts through connected tools or services.
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For security teams, the practical shift is to govern an agent as a non-human identity with bounded authority. A user’s permission to ask for a task should not automatically become permission for an agent to perform every action that might help complete it.
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Start by identifying who owns and authorizes the agent
Before granting access, establish which system is acting, who authorized it, and which organization is accountable. NIST’s NCCoE project describes three deployment patterns in its September 2026 summary of comments on a February concept paper. The risks and control boundaries differ by pattern:
| Deployment pattern | Governance question to resolve |
|---|---|
| Enterprise-owned internal agent | Which employee or business owner sponsors it, and which company systems may it access? |
| Enterprise-owned service that accepts instructions from outside parties | How are the outside party’s instructions authenticated and limited before they influence the enterprise agent’s actions? |
| Externally owned agent interacting with enterprise services | How does the enterprise verify the external agent and constrain its access to enterprise resources? |
The NCCoE summary reports over 600 responses to the concept paper. It describes stakeholder views, not a consensus technical standard. Respondents generally supported distinct, verifiable non-human identities, while differing on the implementation approach. In practice, an identity record may need to distinguish the agent’s service identity and runtime instance from the person or organization authorizing it and from the authority granted to it.
Give each agent a distinct identity and narrow grant of authority
Do not let an agent silently share a person’s login or inherit a broad service account merely because those credentials are convenient. A distinct identity makes it possible to authenticate the agent, assign policy to it, revoke access without disabling a human account, and attribute actions in logs.
NIST’s IR 8596, Cybersecurity Framework Profile for Artificial Intelligence, is an Initial Preliminary Draft dated December 2025—not a finalized agent-governance standard. Its sample considerations for agent identity and access include assigning each agent a unique identity and credentials, binding agent and service identities to credentials using cryptographic signing and mutual authentication, and applying security precautions comparable to those used for privileged users. These are preliminary considerations, so organizations should not present them as settled, agent-specific requirements.
Make each grant task-scoped and least-privilege: limit the resources, operations, and duration needed for the work. For example, an agent asked to summarize selected records should not receive an unrestricted database credential if a read-only, resource-limited interface can serve the task. Where the task requires a consequential change, separate the permission to prepare an action from permission to execute it when the workflow allows.
Control delegated work and check access when actions happen
Agents may break a request into subtasks and pass work to other agents or services. A permission that appears reasonable for the first agent can become excessive if every downstream component inherits it unchanged. NIST’s September 2026 NCCoE comment summary records concerns about static or inherited entitlements, overbroad authority, weakened separation of duties, and accountability gaps across multi-agent workflows.
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- Record the chain. Preserve which identity initiated the task, which agent or service performed each step, and which downstream component received delegated authority.
- Reduce permissions at each handoff. Give a downstream agent only the portion of authority required for its specific subtask; do not pass along the parent’s entire grant by default.
- Authorize at the point of action. Check the current policy when an agent calls a tool or API rather than assuming an earlier approval covers every later operation.
- Expire or revoke grants. Prefer credentials and permissions that can be short-lived and withdrawn when the task ends, the initiating authority changes, or an incident requires containment.
The NCCoE summary discusses short-lived credentials, permission attenuation during delegation, revocation, and authorization at action time as stakeholder proposals and themes. It also says implementation approaches have not converged on one universal method. These controls are a practical way to translate those themes into local policy, not a claim that NIST has mandated one architecture.
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An agent may process web pages, documents, messages, or tool results that contain instructions crafted to manipulate it. NIST commenters raised both direct and indirect prompt injection as concerns. A model’s ability to interpret instructions is not, by itself, a reliable authorization control: a persuasive instruction inside retrieved content must not grant access or override policy.
Use an enforcement point—such as a policy gateway or tool interface—that evaluates each requested action against explicit rules before the action reaches the underlying service. Define which tools the agent may call, which operations are allowed, what data boundaries apply, and when a human approval is required. The NCCoE summary reports interest in logically separating governance from the agent and opposition to using a probabilistic model as the sole authorization decision-maker. Probabilistic signals may add context, but deterministic enforcement should decide whether a protected action is permitted.
- Restrict tools to the minimum set needed for the workflow.
- Validate the target resource and operation at each call, not only when the agent is configured.
- Require approval or a separate control for high-impact actions, such as changing access, moving sensitive data, or making irreversible changes.
- Ensure content retrieved from outside the trusted control plane cannot rewrite permissions or policy.
Make the audit trail explain the action, not just record it
A log entry saying that a change occurred may not be enough to investigate it. NIST’s NCCoE summary says stakeholders want richer audit evidence that can show which identity acted, what authority and policy applied, what decision was returned, what workflow context and provenance were relevant, and whether an approval occurred.
For each consequential tool call, capture enough information to reconstruct the decision: the initiating identity, acting agent and instance, delegation path, requested action and target, applicable policy or authorization result, approval status, and execution outcome. Keep the records protected from alteration and make them useful to incident responders without collecting more personal information than necessary. The same summary notes that identity and telemetry can expose sensitive user information, so attribution and data minimization need to be balanced.
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Use a governance checklist before deployment
Review an agent and its connected tools against these questions before enabling production access and whenever its scope changes:
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- Identity: Can the organization distinguish and authenticate the agent, its runtime or instance, and the person or organization authorizing it?
- Scope: Are permissions limited to the task, resource, operation, and time window required?
- Delegation: Can the organization trace each handoff and ensure that downstream authority is no broader than necessary?
- Enforcement: Is every tool or API action checked against policy at the time it is requested?
- Revocation: Can credentials and grants be expired or withdrawn promptly?
- Accountability: Do logs preserve identity, authority, policy decisions, workflow context, approvals, and outcomes?
- Untrusted input: Can external content influence agent behavior without being able to override access policy?
- Privacy: Does telemetry support security investigations while limiting unnecessary personal data collection?
These questions synthesize topics raised in NIST’s preliminary profile and NCCoE comment summary; they are a decision framework, not a product ranking or certification checklist.
Understand what current guidance does—and does not—settle
NIST’s NCCoE is developing practical, implementation-oriented guidance on identity and authorization for AI agents because traditional identity and access approaches may not address every challenge posed by autonomous actions. Its September 2026 comment summary captures stakeholder feedback and possible controls, rather than a final standard.
NIST announced its AI Agent Standards Initiative in February 2026 with three pillars: industry-led agent standards, community-led open-source protocol development and maintenance, and research on agent security and identity. NIST described further research, guidelines, and other deliverables as forthcoming. The initiative, the NCCoE project, and IR 8596’s preliminary profile are related work, but they are not one completed, final agent-governance standard.
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Organizations do not need to wait for one universal agent standard to apply established identity and access principles: distinct identities, narrow grants, controlled delegation, action-time authorization, revocation, and accountable logs. The implementation details will continue to evolve, so document which controls are organization policy and which are drawn from preliminary or ongoing guidance.
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