They should include lifecycle visibility, rotation, offboarding, and access review for non-human identities such as service accounts, API keys, tokens, and certificates. If the product only handles human workflows well, the organisation will still carry hidden privilege and credential risk in machine identity estates.
Why This Matters for Security Teams
Scoring NHI support in an identity platform is not a feature-comparison exercise. It is a risk test for whether the platform can govern machine credentials across their full lifecycle, from issuance to revocation. That matters because NHI estates usually grow faster than human accounts, and weak lifecycle controls create hidden privilege that traditional IAM reviews miss. NHI Mgmt Group’s Ultimate Guide to NHIs shows how visibility gaps, stale credentials, and rotation failures remain widespread, while the NIST Cybersecurity Framework 2.0 reinforces that governance must map to real operational risk, not just login coverage.
Practitioners should score whether the platform can discover service accounts, API keys, tokens, and certificates, connect them to owners, and prove when they were last used, rotated, or offboarded. If those functions sit outside the product, the team inherits manual workarounds, stale access, and incomplete audit evidence. In practice, many security teams discover the gap only after a leaked token or orphaned service account has already been used for lateral movement.
How It Works in Practice
Strong scoring starts with lifecycle visibility. The platform should identify where an NHI exists, who or what owns it, what system uses it, and whether it is tied to a workload, pipeline, or application. It should also track privilege scope and expose activity history so reviewers can separate active identities from dormant or redundant ones. The Top 10 NHI Issues and the 52 NHI Breaches Analysis both point to the same operational pattern: compromise accelerates when teams cannot see which credentials are live.
For scoring, practitioners should test whether the platform supports:
- Discovery of service accounts, API keys, OAuth tokens, and certificates across cloud, CI/CD, and code repositories
- Rotation workflows that are automated, auditable, and tied to policy rather than ad hoc tickets
- Offboarding that revokes credentials and dependent access when the workload, app, or owner changes
- Access review that can validate machine-to-machine usage without forcing human-centric approval flows
- Evidence export for auditors showing ownership, last use, expiry, and revocation status
Scoring should also reflect whether the platform can enforce separation between human and machine identity workflows. A product that only handles human joiner-mover-leaver processes well may still leave secrets unmanaged in code, tickets, or shared vaults. These controls tend to break down in high-churn CI/CD environments because credentials are created and consumed faster than manual review cycles can keep up.
Common Variations and Edge Cases
Tighter NHI controls often increase integration overhead, so organisations must balance operational simplicity against coverage of real machine-identity risk. Current guidance suggests scoring should be different for platforms that merely store secrets versus platforms that actively govern NHI lifecycle and access. That distinction matters because vault presence alone does not prove visibility, ownership, or revocation capability.
Edge cases include ephemeral workloads, third-party integrations, and service meshes. A platform may score well for long-lived service accounts but fail to support short-lived tokens, workload-attested identities, or delegated access chains. In those environments, best practice is evolving toward scoring that includes machine identity context, not just credential inventory. Where the platform cannot distinguish a production token from a test token, or cannot map an API key to a current application owner, the control value drops quickly.
Practitioners should treat unsupported integrations as a scoring penalty, not a minor gap, because unmanaged exceptions are where hidden privilege accumulates. For broader context on lifecycle failure patterns, the Ultimate Guide to NHIs and the vendor research from The 2025 State of NHIs and Secrets in Cybersecurity both show that offboarding and rotation weaknesses remain common across mature environments.
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 CSF 2.0 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-03 | Rotation and lifecycle control are central to scoring NHI support. |
| NIST CSF 2.0 | PR.AC-4 | Access management scoring should cover machine identities, not just humans. |
| CSA MAESTRO | GRC | Agentic and workload governance requires lifecycle visibility and policy enforcement. |
Require the platform to automate NHI rotation, revocation, and expiry tracking across all credential types.
Related resources from NHI Mgmt Group
- What does the acquisition of a specialist NHI vendor by a platform identity company mean for practitioners?
- What is the difference between runtime protection and NHI lifecycle management?
- When does secrets rotation actually reduce NHI risk?
- Who is accountable when an identity platform falls out of support or drifts from policy?
