DefinitionNIST NCCoE · OWASP ASI03Version 1.025 October 2026
AI agent identity: every agent under its own name and scope
AI agent identity is the distinct, revocable identity under which one AI agent authenticates to systems and tools, separate from the identity of the employee or service it works for, so that its permissions can be scoped to its task, each of its actions can be attributed to it, and its access can be revoked on its own. This entry sets out why a shared identity fails, the 3 controls that make an agent identity real, and what NIST is preparing, read in primary sources on 25 October 2026.
On this page
An agent that borrows a person’s identity leaves a record that names the wrong actor.
In this entry, "we" means Hikari Blue, which engineers and operates the AI operating layer in which each agent runs under its own identity. The definition is ours; the NIST, OWASP and EU texts it cites are read in their primary sources, listed in section 6.
3 identities are often confused. The employee’s identity says who the agent works for. A service account says which software runs. An agent identity says which agent acted, within which scope, and can be revoked without touching the other 2.
Authenticate, authorize, revoke: 3 controls
Each control has a statement, an evidence an auditor can ask for, and an identifier in our governance framework.
| Control | What it requires | Evidence | Framework control |
|---|---|---|---|
| Authenticate | Each agent holds its own identity from the enterprise identity provider, never a shared service account, and appears in the agent register. | The agent register, reconciled against the identity provider. | GOV-A-01 · One identity per agent |
| Authorize | Each agent’s tools, data and spend are declared; any call outside that scope is denied before execution and logged with the policy version that fired. | The permission matrix and the denial log. | GOV-A-02 · Declared scope and budget |
| Revoke | The agent’s sessions and tool permissions are withdrawn in one action by a named operator or verifier, without disabling the employee or the other agents. | The kill switch runbook and its drill history, with measured halt times. | GOV-A-04 · Stop path and drill |
Delegation. When an agent acts for a person, its identity is linked to that person’s, so that every action traces back to someone accountable. The NIST NCCoE concept paper sets the same aim: link user identities to agents to maintain accountability for the actions of automated systems.
NIST SP 800-207, Zero Trust Architecture (August 2020), grants access to each enterprise resource “on a per-session basis” and states that authentication and authorization to one resource “will not automatically grant access to a different resource.” In our reading, an agent identity is what lets that rule apply to agents.
OWASP recommends task-scoped, time-bound permissions, “using per-agent identities and short-lived credentials.” Short-lived credentials make revocation the default: a credential that is not renewed expires on its own.
NIST SP 800-63-4, Digital Identity Guidelines, published in July 2025, supersedes SP 800-63-3 and covers the identity proofing, authentication and federation of users. In our reading, it governs the person who delegates; the NCCoE concept paper lists it among the guidelines it will apply to agents.
Mapping prepared by Hikari Blue; NIST and OWASP have not reviewed it.
- Enterprise AI Governance Framework v1.0 · Domain A GOV-A-01 to GOV-A-04: identity, scope, human verification and stop, with owners and cadences.
- Enterprise AI agents implementation, phase by phase · Controls Identity, scope, verification, record and stop, installed phase by phase.
- AI kill switch: a stop path built into the architecture What revocation triggers, what it must reach, and how its time is measured.
- Governed autonomy: how much an AI agent may do alone The scope an identity carries, set by the risk of each step.
What NIST is standardizing on agent identity and authorization
2 workstreams at NIST address agent identity. Neither had published a final guideline on 25 October 2026, when we read their pages.
NCCoE · Accelerating the Adoption of Software and AI Agent Identity and Authorization
Draft concept paper by Harold Booth, Bill Fisher, Ryan Galluzzo and Joshua Roberts, released on 5 February 2026 and open for comment until 2 April 2026. It proposes an NCCoE project that applies existing identity standards to software and AI agents in enterprise use cases.
Its 5 areas of interest
Identification, so access systems tell agents from humans; authorization; access delegation, linking user identities to agents; logging and transparency, linking each action to the identity of the non-human entity; tracking data flows.
The standards it considers
Model Context Protocol, OAuth 2.0 and 2.1 with their extensions, OpenID Connect, SPIFFE and SPIRE, SCIM and Next Generation Access Control, with NIST SP 800-207, SP 800-63-4 and NISTIR 8587.
After the comment period
The NCCoE project hub reports more than 600 responses and a project being stood up, whose ultimate deliverable is an SP 1800 series practice guide. The hub listed no published guide when we read it.
CAISI · AI Agent Standards Initiative
Announced on 17 February 2026 by the Center for AI Standards and Innovation at NIST, on 3 pillars: industry-led agent standards, community-led open protocols, and research in AI agent security and identity.
What we take from it
In our reading, both workstreams treat the agent as an identity of its own, distinct from the person it serves. That is the property control GOV-A-01 already requires.
Mapping prepared by Hikari Blue; NIST has not reviewed it.
The identity in the audit trail
Actor identity is the first of the 9 fields of our AI audit trail: the agent or operator identity issued by the enterprise identity provider, never a shared service account.
Why the field matters
Every action has one accountable identity. The field serves Article 12(2)(c) and Article 26(5) of the EU AI Act, which concern the monitoring of operation.
What a shared identity writes
Under a person’s session, the field names the employee. Under a pooled service account, it names no one in particular. In both cases the record is complete in form and wrong in substance.
The human verifier
The human verification field records the identity of the person who approved, rejected or overrode an output. Agent and verifier are 2 identities, never one.
The NIST aim
The NCCoE concept paper sets logging and transparency as an area of interest: link each agent action “to the identity of the non-human entity”.
The questions asked about AI agent identity.
What is AI agent identity?
The distinct, revocable identity under which one AI agent authenticates to systems and tools, separate from the identity of the employee or service it works for. Its permissions are scoped to its task, each of its actions is attributed to it, and its access can be revoked on its own.
Why can’t an agent use the employee’s credentials?
Because the target system then authenticates, authorizes and logs the person, not the agent. No action can be attributed to the agent, and its access cannot be withdrawn without locking out the employee. OWASP lists the risk as ASI03, Identity and Privilege Abuse, in its Top 10 for Agentic Applications of 9 December 2025.
What is NIST doing on agent identity and authorization?
The NCCoE released a draft concept paper on 5 February 2026, open for comment until 2 April 2026; it reports more than 600 responses and plans an SP 1800 series practice guide. On 17 February 2026, CAISI announced the AI Agent Standards Initiative, which includes research in AI agent security and identity.
Is a service account enough for an agent?
Not when several agents share it: no action is attributable and no single agent can be halted alone. One identity per agent, issued by the enterprise identity provider and listed in the agent register, is what control GOV-A-01 of our governance framework requires.
How do you revoke one agent without stopping the others?
Revocation targets the agent’s own identity: its sessions and tool permissions are withdrawn in one action, and the other agents keep running. That is the pass condition of control C4 of our Reference Architecture.
Reference documents and primary sources.
Every date, identifier and quotation on this entry comes from the sources below, consulted on 25 October 2026.
Reference documents
- What is an AI operating layer? The category in which agents run: routing, policy, record and a way to stop.
- Glossary of the AI operating layer Every term of the layer, each defined in one sentence with its sources.
- AI Operating Layer Reference Architecture v1.0 · C4 Agent control by architecture: every agent runs under its own identity, with a declared tool scope, a budget and a stop path.
Primary sources, consulted on 25 October 2026
- NIST NCCoE · Accelerating the Adoption of Software and AI Agent Identity and Authorization (opens in a new tab) Draft concept paper, February 2026. Areas of interest, standards considered, comment period from 5 February to 2 April 2026. PDF.
- NIST CSRC · Concept paper, initial public draft (opens in a new tab) Release date of 5 February 2026 and the closed comment period.
- NCCoE Agentic SI Identity and Authorization Project Resource Hub (opens in a new tab) More than 600 responses; an SP 1800 series practice guide as the ultimate deliverable.
- NIST · Announcing the AI Agent Standards Initiative (opens in a new tab) Announcement by CAISI, 17 February 2026: the 3 pillars of the initiative.
- NIST CAISI · AI Agent Standards Initiative (opens in a new tab) Page created on 17 February 2026, updated on 14 August 2026: pillars and related activities.
- NIST SP 800-207 · Zero Trust Architecture (opens in a new tab) NIST, August 2020. Tenet 3, per-session access, quoted in section 2.
- NIST SP 800-63-4 · Digital Identity Guidelines (opens in a new tab) NIST, July 2025. Supersedes SP 800-63-3.
- OWASP GenAI Security Project · Top 10 for Agentic Applications for 2026 (opens in a new tab) Published on 9 December 2025. ASI03 Identity and Privilege Abuse, description and mitigations.
- EUR-Lex · Regulation (EU) 2024/1689, the AI Act, consolidated text (opens in a new tab) Version of 27 July 2026. Articles 12(2)(c) and 26(5). A documentation tool without legal effect.
How to cite this document.
This URL is permanent and always serves the current version. Each change of substance increments the version and is listed in the changelog below, so a citation stays traceable to the text it quoted.
Preferred citation
Hikari Blue, "AI agent identity: every agent under its own name and scope", Glossary of the AI operating layer, v1.0, 25 October 2026, https://hikariblue.com/glossary/ai-agent-identity
Section anchors are stable: #definition, #shared-identity, #controls, #nist, #audit-trail, #faq, #references, #cite.
Changelog
v1.0 · 25 October 2026. First public version.
License. Published under CC BY 4.0: free to cite, quote and reuse with attribution to Hikari Blue and a link to this page. The license covers Hikari Blue’s text, tables and diagrams on this page; it does not cover third-party data, quotations or legal texts, which keep their own terms, nor the Hikari Blue name and logo, trademarks of UNITED4 LLC.
Name every agent you run. Find the ones that share an identity.
30 minutes with a named partner. We take one workflow where agents act today and check each agent: its own identity, its declared scope and its revocation path. You leave with the list of agents that borrow a person’s session or share an account, whether or not we work together.
- Every agent of one workflow, named
- Its scope, declared or inherited
- Its revocation path, walked on paper
