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One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware matchNon-human identities (NHIs) already let software and services authenticate to systems. Agentic AI raises the stakes—not because it creates a new identity problem, but because an agent may autonomously use tools, reach data, and delegate work. The practical challenge is to make each agent’s authority traceable to an owner and a legitimate purpose, while limiting what it can do.
Identity is the principal, not the secret it uses
A non-human identity represents a software process, service, application, or other non-human actor in an access system. A credential—such as a key or secret—is a mechanism that actor uses to authenticate. The two are related, but they are not interchangeable: a key is not, by itself, an identity.
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The Cloud Security Alliance (CSA), in its July 2026 definition of NHI, describes these identities as authenticating programmatically with credentials and operating independently, often autonomously. That is CSA terminology and guidance, not a binding regulatory definition.
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What changes when the identity belongs to an AI agent?
Traditional service identities are generally associated with a workload or software process and the permissions granted to it. An agent can make the relationship among identity, task, tools, and human authorization less fixed: it may select among tools, act on data, or carry out delegated work. NIST describes AI agents as software systems that use data and algorithms to perform tasks autonomously, and notes that they may be given access to diverse data, tools, and applications.
The result is not that every agent necessarily has broad or unpredictable access. It is that teams need to consider how authority behaves as the task and available tools change. NIST’s February 2026 concept paper raises open questions about task-dependent identity metadata, key issuance and revocation, least privilege for actions that cannot be fully predicted, delegation on behalf of a human, and how agent identity should be bound to human authorization.
| Control question | Conventional service identity | Agentic system to examine |
|---|---|---|
| Identity and context | Often associated with a workload or software process. | Consider whether the identity should remain fixed or include task context; NIST poses this as an open design question. |
| Authorization | Permissions are granted to the service identity. | Examine whether scope can be constrained to the current task and adjusted when context or available tools change. |
| Delegation | May operate under service-level authority. | Represent who or what authorized work done on behalf of a person, and preserve that chain in records. |
| Evidence of action | Logs can associate activity with the service identity. | Consider whether records can connect identity, action, context, and authorizing human or system, and whether they can be verified. |
This is a set of design axes, not a scorecard or a claim that all service identities or agents behave alike. NIST has not established a universal implementation for them.
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Why ownership, scope, and lifecycle still matter
The underlying NHI risks predate agentic AI. CSA identifies unclear ownership, excessive permissions, limited visibility, and exposure of static secrets among the governance problems. An agent can make those weaknesses more consequential if it has access to multiple tools or systems, but calling it an AI agent does not replace the need to govern its identity like other machine identities.
For an inventory or registry, CSA’s 2026 governance white paper recommends recording the identity, its owner, purpose, systems accessed, privilege scope, and an expiration or review date. Those fields help turn an abstract identity into something a team can assign, review, and retire.
- Assign accountability: Name a person or team responsible for the agent and its business purpose.
- Limit reach: Identify the specific resources and actions required, rather than granting broad access for convenience.
- Manage credentials through their lifecycle: Know how keys or other credentials are issued, stored, rotated, updated, and revoked. CSA recommends rotation; NIST’s concept paper asks about key lifecycle management.
- Review authority as conditions change: Decide whether task, context, or tool changes should alter what the agent is allowed to do. NIST raises dynamic authorization and least privilege as questions for exploration, not finalized requirements.
- Keep a useful record: Determine what evidence will connect the agent’s identity and actions to context and authorization, and how the integrity of that evidence will be checked.
Delegation and prompt injection need separate attention
When an agent acts on someone’s behalf, an audit record should not stop at “the agent did it.” The organization needs to preserve who or what granted the authority, the scope of that delegation, and the actions taken under it. Authentication establishes which principal is acting through which trusted mechanism; authorization determines which actions and resources that principal may use. Delegation describes how authority was granted through another principal or human decision.
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Prompt injection is relevant when an agent can use tools or access data: hostile or misleading input may influence what it attempts to do. NIST’s concept paper asks how to prevent or mitigate such influence and reduce its impact. Identity and access controls can constrain what an agent is permitted to reach, but the cited guidance does not establish that identity controls alone prevent prompt injection or that one control eliminates the risk.
What current standards do—and do not—cover
NIST’s digital identity guidelines
NIST Special Publication 800-63-4, finalized in July 2025, covers identity proofing, authentication, and federation for people—including employees, contractors, and private individuals—interacting with government information systems over networks. It supersedes SP 800-63-3 and provides relevant digital-identity concepts, but it is not a completed standard for authorizing autonomous software agents. NIST’s implementation resource hub says the revision followed an almost four-year process and received nearly 6,000 individual public comments; that figure concerns development of the guideline, not AI-agent adoption.
NIST’s agent identity and authorization work
NIST published its concept paper on software-agent identity and authority on February 5, 2026. Its public comment period closed on April 2, 2026. NIST reported on September 29, 2026 that it had received over 600 responses. These are responses to the concept paper, not a count of agents or organizations using them.
NIST says its first implementation use case will address identifying, authenticating, and authorizing AI agents in the software development lifecycle, in collaboration with its DevSecOps project. Its NCCoE resource hub describes a planned SP 1800-series practice guide with example implementations, architectures, build details, and lessons from NCCoE laboratory work. That is the project’s stated direction; the guide is not described as complete.
CSA’s proposed approach
CSA’s August 2025 agentic AI identity and access management paper proposes a framework using decentralized identifiers (DIDs), verifiable credentials (VCs), and Zero Trust principles, with discussion of delegation, policy enforcement, and monitoring. It is a proposal, not a universal consensus or mandatory standard. Neither those technologies nor a registry alone resolves every question of identity, authorization, accountability, or auditability.
Questions to take into an architecture review
These questions translate the current guidance into review topics; they are not a checklist issued as a requirement by NIST or CSA.
- What is the agent’s identity subject, and how is it distinguished from the credential used to authenticate?
- Which person or team owns it, what is its purpose, and which systems and resources can it reach?
- Are its allowed actions limited to the task, resource, and context needed? What should happen when its task or tool access changes?
- How are keys or other credentials issued, stored, rotated, updated, and revoked?
- How is delegated authority represented, especially when work is done on behalf of a human?
- What records connect the agent’s identity, action, intent, and context to the human or system that authorized it—and how can those records be verified?
- What limits the damage if prompt injection influences the agent’s behavior?
These questions reflect the distinction between established NHI governance concerns and agent-specific work that is still developing. The sound starting point is not to treat an agent as a person, or to assume its credentials explain its authority, but to make ownership, scope, delegation, and evidence explicit.
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