They should look for coverage across discovery, ownership, lifecycle control, access review, and remediation for both human and non-human identities. The key test is whether the platform can support policy decisions and evidence collection across service accounts, secrets, and entitlements without forcing separate workflows for each identity type.
Why This Matters for Security Teams
Identity security platforms are often evaluated as if human and non-human identities follow the same operating model. They do not. Service accounts, API keys, OAuth apps, certificates, and agentic workloads change faster than ticket-based governance can track, and the attack surface expands when ownership, rotation, and entitlement review are fragmented. NHI Management Group’s Ultimate Guide to NHIs shows that 97% of NHIs carry excessive privileges, which makes platform evaluation a control decision, not a feature comparison.
Security teams should judge whether a platform can discover identities continuously, map them to owners, and collect evidence for lifecycle actions without forcing separate processes for humans and machines. That matters because weak visibility is usually followed by delayed remediation, not the other way around. The OWASP Non-Human Identity Top 10 frames this as a governance and exposure problem, while NIST Cybersecurity Framework 2.0 emphasizes continuous identification, protection, detection, response, and recovery across assets and identities. In practice, many security teams encounter platform gaps only after secrets sprawl or stale entitlements have already created an incident.
How It Works in Practice
A useful evaluation starts with one question: can the platform treat non-human identities as first-class identities rather than as miscellaneous artifacts? The best platforms can discover service accounts, API keys, OAuth grants, certificates, and machine-to-machine entitlements, then tie each one to an owner, purpose, and business service. That enables policy decisions and evidence collection across the full lifecycle, from creation to rotation to offboarding.
For NHI governance in scope, the platform should support:
- Continuous discovery across cloud, CI/CD, code, secrets stores, and identity providers.
- Ownership mapping that links each NHI to a team, application, and risk domain.
- Lifecycle controls for provisioning, rotation, expiration, and revocation.
- Access reviews that separate legitimate machine use from abandoned or over-privileged access.
- Remediation workflows that can prove action taken, not just alert generated.
Current guidance suggests that the strongest tools also normalize evidence for audit and incident response. NHI Management Group’s State of Non-Human Identity Security reports that only 1.5 out of 10 organisations are highly confident in securing NHIs, which is a strong sign that confidence should not be assumed from a vendor dashboard alone. Teams should also look for integration with the existing control stack, including secrets management, PAM, SIEM, and cloud identity systems, so that review and remediation do not become a parallel workflow. Platforms that only inventory identities without enforcing expiry, revocation, and ownership checks tend to break down when identities are spread across multiple clouds and developers keep creating new credentials faster than governance can catch up.
Common Variations and Edge Cases
Tighter identity controls often increase operational overhead, requiring organisations to balance auditability against engineering velocity. That tradeoff becomes sharper when platforms must support both humans and NHIs, because one-size-fits-all approval chains can slow automated delivery while still missing machine-specific risk.
There is no universal standard for this yet, so buyers should be careful about claims of “full NHI governance.” Some platforms focus on discovery and inventory, while others emphasize remediation, access review, or secrets hygiene. Best practice is evolving toward shared evidence models, but the exact split between IAM, PAM, secrets management, and dedicated NHI tooling still depends on the environment.
Edge cases matter. In ephemeral workloads, short-lived credentials may be enough if issuance and revocation are reliable; in legacy systems, static accounts may need compensating controls because rotation is harder to automate. In third-party or OAuth-heavy environments, visibility can be limited even when the platform is otherwise strong. The practical test is whether the platform can keep pace when identities are created by pipelines, used by agents, or buried in code and configuration, rather than only when they appear in a directory.
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 AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-03 | Covers NHI lifecycle hygiene, central to platform evaluation. |
| NIST CSF 2.0 | PR.AC-4 | Addresses access permissions and least privilege for identities. |
| NIST AI RMF | Supports governance and accountability for automated identity decisions. |
Verify the platform can review, enforce, and evidence least-privilege access across human and machine identities.
Related resources from NHI Mgmt Group
- Who should own NHI governance when identity spans security, DevOps, and cloud teams?
- How should security teams evaluate stitched identity platforms versus unified ones?
- How should security teams use IAST and RASP in NHI governance?
- How should security teams evaluate IAM platforms for non-human identity governance?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on June 24, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
