They fit into one model when governance focuses on the access decision rather than the identity type alone. A person, a service account, and an API credential all need scoped, reviewable access to the systems they touch. A unified entitlement model prevents policy gaps between IAM, PAM, and NHI governance.
Why This Matters for Security Teams
Human, workload, and service identities only look different at the surface. In practice, they all consume access, create audit evidence, and expand blast radius when governance is inconsistent. The failure mode is not identity type, but split ownership across IAM, PAM, and NHI workflows. NHI Management Group research shows that 69% of organisations now have more machine identities than human ones, which makes a human-only access model structurally incomplete.
That gap is especially visible when teams treat service accounts as technical exceptions instead of governed principals. Human identity reviews are usually periodic and policy-driven, while workloads need lifecycle controls that track deployment, rotation, and revocation. The same access model has to decide who or what is allowed, for how long, and under what context. The Ultimate Guide to NHIs and the OWASP Non-Human Identity Top 10 both reflect the same reality: unmanaged service and API identities become security gaps when they sit outside the access governance model. In practice, many security teams discover that mismatch only after a service account outage, credential leak, or overprivileged integration has already occurred, rather than through intentional access design.
How It Works in Practice
A unified access model starts by normalising the decision point. The question is not whether the requester is a person, workload, or service, but whether the requester is authenticated, authorised, and limited to the minimum necessary scope. That means the policy engine must evaluate identity attributes, context, resource sensitivity, and intended action at request time, not just assign broad entitlements at onboarding. Current guidance suggests this works best when human access and machine access share common governance primitives, even if the enforcement methods differ.
For humans, that usually means RBAC or attribute-based rules layered over SSO and MFA. For workloads and services, it usually means short-lived credentials, certificate-backed workload identity, and explicit ownership of the calling principal. The SPIFFE workload identity specification is useful here because it frames workload identity as cryptographic proof of what the workload is, not merely a secret it possesses. That model aligns well with the Guide to SPIFFE and SPIRE, which is particularly relevant for service-to-service trust.
- Use one entitlement inventory so human users, service accounts, API keys, and certificates map to named owners.
- Issue time-bound access for workloads and services through JIT or ephemeral credentials where possible.
- Evaluate access with policy-as-code at runtime, especially for high-risk systems or production changes.
- Track rotation, revocation, and usage evidence in the same review workflow, even if the identity sources differ.
This model breaks down when legacy applications hard-code long-lived secrets, because the access decision becomes detached from a revocable principal and governance loses enforcement leverage.
Common Variations and Edge Cases
Tighter unified controls often increase operational overhead, so organisations have to balance central policy consistency against application compatibility and release speed. That tradeoff is most visible in older environments where service accounts are embedded in scripts, infrastructure tooling, or vendor-managed integrations. In those cases, current guidance suggests using compensating controls rather than pretending the identity can be governed like a normal user account.
One common edge case is third-party access. A vendor user and a vendor-controlled API integration may both touch the same system, but they should not share the same review model. Another is break-glass access, where a human may need elevated permissions that a workload would never need. For these scenarios, the access model should distinguish principal type, approval path, and revocation method while still preserving one policy language. The Ultimate Guide to NHIs — Key Challenges and Risks is a useful reference for understanding where visibility and ownership typically fail.
There is no universal standard for every organisation’s entitlement schema yet, but the practical rule is simple: if an access grant cannot be reviewed, scoped, and revoked with the same discipline across human and non-human principals, it does not belong in the unified model.
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 and CSA MAESTRO address the attack and risk surface, while NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-01 | Unified identity scope and ownership reduce service-account and API-key overreach. |
| CSA MAESTRO | IAM-1 | MAESTRO addresses governance across autonomous and non-human access paths. |
| NIST AI RMF | GOVERN | Unified access models need accountable governance across human and machine actors. |
Inventory all human and non-human principals, assign owners, and enforce least-privilege access reviews.
Related resources from NHI Mgmt Group
- How should security teams run access reviews for non-human identities?
- How should security teams govern non-human identities that have persistent access?
- What breaks when quarterly access reviews are used for non-human identities?
- How should teams govern GitHub access across human and non-human identities?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on June 23, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org