A non-human identity used by an AI system to access tools, data, or services. In practice this can include OAuth apps, API keys, service accounts, tokens, and webhooks. The security challenge is that the agent may combine several identities into one effective access path.
Expanded Definition
AI-associated NHI is a non-human identity created, delegated, or operationally assembled for use by an AI system that can act on tools, data, and services. In practice, that identity boundary may be a single service account, or a chain of OAuth grants, API keys, tokens, certificates, and webhooks that together become one effective access path.
Definitions vary across vendors because some teams describe the AI itself as the actor, while others treat the underlying credentials as the NHI. NHI Management Group uses the term to emphasise the security reality: once an AI system can execute actions, its access path must be governed like any other privileged workload identity, with the same discipline expected under the NIST Cybersecurity Framework 2.0. This matters most where agents can call tools autonomously, retain tokens across sessions, or pivot between systems without a human approval step.
The most common misapplication is treating the AI application as “just a user interface,” which occurs when teams overlook the credentials, scopes, and downstream entitlements actually executing the action.
Examples and Use Cases
Implementing AI-associated NHI rigorously often introduces orchestration and review overhead, requiring organisations to weigh agent autonomy against the cost of tighter credential governance.
- An internal support agent uses a scoped OAuth app to read tickets, draft responses, and update records, while its token is rotated and monitored as a distinct NHI.
- A code assistant signs into a repository API with a service account to open pull requests, requiring separation between read-only analysis and write-enabled actions, as discussed in the Ultimate Guide to NHIs.
- An incident-response agent receives webhook callbacks from monitoring tools and invokes cloud APIs, so each integration must be mapped to a specific trust boundary rather than one “AI admin” identity.
- A purchasing bot uses API keys to query inventory, create draft orders, and notify approvers, making the identity lifecycle and approval chain as important as the model prompt itself.
- A production troubleshooting agent inherits multiple tokens across chat, SaaS, and infrastructure systems, illustrating the compound access path highlighted in Top 10 NHI Issues.
The term is especially relevant when agent actions are federated through external services using standards such as OAuth 2.0 and related token exchange patterns, because the security boundary follows the credential, not the model. For implementation guidance, align the access path to least privilege and explicit authorization steps defined by the OAuth 2.0 framework.
Why It Matters in NHI Security
AI-associated NHI is where agentic convenience can become privilege sprawl. NHI Management Group research shows that 44% of NHI tokens are exposed in the wild, often in tickets, chat tools, and code commits, which turns an AI workflow into a broad compromise surface when the same credential can reach multiple systems. That risk is amplified when identities are duplicated, left active after offboarding, or embedded in automation that no one reviews after deployment, as reflected in the 2025 State of NHIs and Secrets in Cybersecurity and the State of Secrets in AppSec.
Misunderstanding this term leads to weak ownership, poor segregation of duties, and inadequate revocation when the agent changes purpose or is compromised. The issue is not just whether the model is trustworthy, but whether its access path is bounded, observable, and reversible under incident response. Organisations typically encounter the consequences only after a token leak, a misrouted action, or an unexpected data access event, at which point AI-associated NHI becomes operationally unavoidable to address.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10 address the attack and risk surface, while NIST CSF 2.0 and NIST Zero Trust (SP 800-207) set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-01 | Covers identity sprawl and unauthorized NHI usage across AI-driven access paths. |
| NIST CSF 2.0 | PR.AC-4 | Least-privilege access management directly applies to agent credentials and tokens. |
| NIST Zero Trust (SP 800-207) | SCITT/least-privilege principles | Zero Trust requires every tool call and credentialed action to be explicitly authorized. |
Inventory every AI-associated identity path and assign ownership, scope, and revocation controls.
