Start with the systems that hold sensitive data, then include every identity that can reach them, including service accounts, API keys, tokens, certificates, and third-party connectors. Scope should follow actual access paths, not just organisational boundaries, so the audit can measure real privilege exposure rather than a paper model.
Why This Matters for Security Teams
Audit scope for non-human identities is not a paperwork exercise. It determines whether security teams can see the identities that actually move data, call APIs, sign code, and reach cloud control planes. If the scope is too narrow, service accounts, tokens, certificates, and third-party connectors sit outside review even though they often hold the broadest privileges.
That is why guidance from the OWASP Non-Human Identity Top 10 and NHIMG’s Ultimate Guide to NHIs — Regulatory and Audit Perspectives both point toward asset- and access-path-based scoping rather than org-chart-based scoping. NHIs also outnumber human identities by 25x to 50x in modern enterprises, which means a narrow audit can miss the majority of effective privilege exposure. The problem is amplified by third-party integrations, where visibility is often weakest; NHIMG’s State of Non-Human Identity Security notes that 85% of organisations lack full visibility into third-party vendors connected via OAuth apps.
In practice, many security teams discover their audit blind spots only after a secrets leak or lateral movement event has already exposed them.
How It Works in Practice
Effective audit scoping starts with the data and systems that create the highest consequence if compromised, then maps every non-human identity that can reach them. That includes local service accounts, CI/CD tokens, workload certificates, API keys, OAuth grants, machine users, and any third-party connector that can authenticate on behalf of the organisation. The key question is not “Which department owns this?” but “What can this identity reach, and what can it do once it gets there?”
Practical scoping usually works best in layers:
- Identify crown-jewel systems, sensitive datasets, and privileged control planes.
- Trace inbound and outbound access paths, including indirect paths through automation and SaaS integrations.
- Inventory every NHI type attached to those paths, including dormant or rarely used identities.
- Review privilege level, credential age, rotation status, and logging coverage for each identity.
- Separate human-owned workflows from machine-to-machine workflows so audit evidence reflects actual runtime access.
This approach aligns with the NIST Cybersecurity Framework 2.0 because it treats access and exposure as operational realities, not static labels. It also fits NHIMG’s Lifecycle Processes for Managing NHIs, which emphasise visibility, rotation, offboarding, and continuous review. In mature environments, audit scope should be refreshed whenever a new integration, pipeline, or cloud account is introduced, because those changes frequently create new identities faster than governance teams can catalogue them.
These controls tend to break down when identities are embedded in ephemeral build systems or SaaS-to-SaaS connectors because ownership is distributed and access paths change faster than the audit cycle.
Common Variations and Edge Cases
Tighter audit scope often increases discovery effort, remediation workload, and cross-team coordination, so organisations have to balance coverage against the cost of chasing every low-risk token. There is no universal standard for this yet, but current guidance suggests using risk tiers rather than a single blanket review model.
For example, some NHIs are easy to enumerate but hard to classify, such as ephemeral tokens minted by CI/CD tools or certificates issued to short-lived workloads. Others are hard to see at all, especially third-party OAuth applications and vendor-managed integrations. In those cases, the audit should include both the identity and the trust relationship behind it, because the real risk often sits in delegated access rather than the credential alone. NHIMG’s Ultimate Guide to NHIs — Key Challenges and Risks is useful here because it frames secrets exposure, over-privilege, and weak offboarding as recurring failure modes rather than isolated exceptions.
Another edge case is “shadow” NHIs created by developers, platform teams, or vendors outside central IAM. These should still be in scope if they can reach in-scope systems, even if no formal owner is recorded. The practical rule is simple: if an identity can authenticate, call a privileged API, or touch regulated data, it belongs in the audit. In environments with heavy automation and third-party delegation, that rule catches more risk than any org-boundary approach.
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 CSF 2.0 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-01 | Scopes discovery around all non-human identities and their access paths. |
| NIST CSF 2.0 | ID.AM-1 | Asset management requires knowing systems and identities that support critical services. |
| NIST CSF 2.0 | PR.AC-4 | Access permissions should reflect actual privilege exposure, not assumed boundaries. |
Inventory every NHI that can reach in-scope assets, then review privilege and ownership continuously.
Related resources from NHI Mgmt Group
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on June 11, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
