They often treat zero trust as a label instead of a control model. In practice, the key question is whether the platform continuously validates access, reduces privilege persistence, and supports timely removal when the risk or role changes.
Why This Matters for Security Teams
zero trust is a control model, not an entitlement catalog feature. When teams mistake it for IGA, they often stop at periodic access reviews, role cleanup, or policy labels while leaving privilege persistence intact. That misses the operational point: access must be continuously evaluated, narrowly scoped, and removed as context changes. NIST’s NIST SP 800-207 Zero Trust Architecture frames this as ongoing verification, not one-time approval, and NHIMG’s Ultimate Guide to NHIs shows why this matters operationally: 90% of IT leaders say properly managing NHIs is essential for a successful zero-trust implementation.
The common failure is assuming identity governance can substitute for runtime enforcement. IGA is useful for certification, ownership, and lifecycle hygiene, but it does not by itself decide whether a session, token, or workload should continue to have access right now. That distinction becomes critical for service accounts, API keys, and machine identities that persist far longer than the business context that created them.
In practice, many security teams encounter zero trust drift only after a stale account, overbroad token, or forgotten integration has already been used to move laterally.
How It Works in Practice
When zero trust is implemented correctly, the platform evaluates each request using identity, device, workload, transaction, and risk context. IGA still matters, but only as one input into a broader policy decision. The access decision happens at runtime, and the outcome should be temporary, least-privileged, and revocable. For NHI-heavy environments, that means pairing governance workflows with Guide to SPIFFE and SPIRE style workload identity, short-lived credentials, and policy-as-code enforcement.
Operationally, teams should separate the control planes:
- IGA for ownership, certification, and joiner-mover-leaver process.
- Zero trust enforcement for runtime authorization and continuous re-evaluation.
- Secrets and workload identity for ephemeral proof of identity instead of long-lived static credentials.
This is especially important when the same non-human identity can authenticate from CI/CD, cloud control planes, and production APIs. A role may say what the account is allowed to do in general, but zero trust determines whether that action is justified in this specific request, at this specific moment. The practical pattern is to reduce standing access, issue credentials just in time, and revoke them automatically when the task completes or the risk posture changes.
Current guidance suggests that zero trust should be measured by how quickly privilege can be constrained, not by how many identities have been reviewed. That is why NHIMG’s standards guidance and Ultimate Guide to NHIs — Standards remain useful for mapping governance to operational control expectations.
These controls tend to break down in legacy environments where service accounts are embedded in applications, because runtime policy cannot easily override hard-coded credentials or unmanaged token distribution.
Common Variations and Edge Cases
Tighter zero-trust enforcement often increases operational overhead, requiring organisations to balance stronger runtime control against integration complexity and user friction. That tradeoff is real, especially in hybrid estates, partner integrations, and systems that were never designed for short-lived identity or continuous policy evaluation.
There is no universal standard for this yet, but current guidance suggests a few patterns are safer than treating IGA as the finish line. In high-change environments, teams may need adaptive policy based on request context, automated credential issuance, and frequent re-attestation for machine identities. In low-risk environments, a lighter model may be acceptable, but only if standing privilege is still minimized and dormant access is aggressively removed.
The main edge case is third-party or embedded NHI access. IGA can record who owns the integration, but it cannot guarantee that external systems will stop using cached secrets, overly broad API tokens, or shared service accounts. NHIMG’s research shows 97% of NHIs carry excessive privileges, which is why overreliance on access review alone leaves a large attack surface untouched. Zero trust has to be enforced where the request is made, not only where the entitlement is recorded.
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 |
|---|---|---|
| NIST CSF 2.0 | PR.AC-4 | Access permissions must be managed continuously, not just reviewed in IGA. |
| NIST Zero Trust (SP 800-207) | Defines zero trust as continuous verification, which IGA alone cannot deliver. | |
| OWASP Non-Human Identity Top 10 | NHI-01 | Covers excessive standing privilege in non-human identities and machine access. |
Reduce standing NHI privilege and replace static access with short-lived grants.
Related resources from NHI Mgmt Group
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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
