How do IAM and NHI teams share responsibility for zero trust governance?

Why This Matters for Security Teams

zero trust governance only works when IAM and NHI teams treat every entitlement as part of one control plane, not as two separate programs. If humans, privileged administrators, service accounts, workloads, and agents are reviewed in isolation, the organisation can miss privilege inheritance, orphaned secrets, and policy conflicts that cross identity types. That is why current guidance maps zero trust to continuous verification and least privilege across all access paths, not just employee logins, as described in the NIST Cybersecurity Framework 2.0 and NIST SP 800-207 Zero Trust Architecture.

NHIMG research shows the maturity gap is real: in the 2024 Non-Human Identity Security Report, 88.5% of organisations said their non-human IAM practices lag behind or only match human IAM. That gap matters because NHI failures often appear first as access sprawl, not as an obvious incident. In practice, many security teams encounter cross-domain privilege drift only after a workload or admin path has already been over-permissioned.

How It Works in Practice

Shared zero trust governance starts with one entitlement inventory and one policy model. IAM owns the identity fabric, lifecycle controls, and authoritative source of truth for human and machine identities. NHI teams own workload identity, secret hygiene, token issuance patterns, and the controls that keep machine access ephemeral and auditable. Neither group should define access policy in a vacuum.

Practically, the operating model usually includes three layers:

• Identity issuance and proofing: human identities follow enterprise joiner-mover-leaver controls, while NHIs use workload identity and cryptographic proof of what the entity is, not just a stored secret. The Guide to SPIFFE and SPIRE is useful here because it frames identity for workloads as a first-class primitive.

• Authorisation at request time: access decisions should be evaluated with context, including workload, destination, sensitivity, and task purpose. That aligns with policy-as-code approaches and avoids static role assumptions that age badly in dynamic environments.

• JIT access and revocation: privileged access for both people and machines should be time-bound, task-scoped, and automatically revoked after use. This is especially important when secrets are shared through pipelines, CI/CD, or automation runners.

For practitioners, the practical handoff is simple: IAM defines who or what is allowed to request access, and nhi governance defines how non-human access is issued, constrained, observed, and retired. The question is not whether a workload has a password-like secret; it is whether the access path can be verified continuously and removed when the task ends, a theme explored in the Top 10 NHI Issues and in Lifecycle Processes for Managing NHIs.

These controls tend to break down when identity ownership is split across platform, security, and application teams because no single group sees the full entitlement chain.

Common Variations and Edge Cases

Tighter zero trust governance often increases operational overhead, requiring organisations to balance stronger verification against deployment speed and administrative complexity. That tradeoff is especially visible when legacy systems still depend on static service accounts or shared secrets that cannot be replaced quickly. Current guidance suggests phasing these dependencies down rather than pretending they can be governed like modern workload identities.

There is no universal standard for this yet, but the most practical pattern is a shared control plane with separate operational responsibilities. IAM may own enterprise access policy, directory governance, and certification workflows, while NHI teams manage secret rotation, workload attestation, and token brokerage. The lines blur further in hybrid and multi-cloud environments, where an access rule can span human admin privileges, automation roles, and agent tool access in one path. NHIMG’s Regulatory and Audit Perspectives section is useful for turning that overlap into audit evidence.

In edge cases, the control objective stays the same: prove identity, minimise standing privilege, and review access continuously. The implementation changes when systems cannot support short-lived tokens, federated trust, or workload attestation, and those environments usually require compensating controls before zero trust can be enforced consistently.

Related resources from NHI Mgmt Group

• How should security teams use IAST and RASP in NHI governance?
• What is the difference between human IAM controls and NHI governance?
• What does the 144:1 NHI-to-human ratio mean for IAM governance programmes?
• Who is accountable for Zero Trust maturity when identities span IAM, PAM, cloud, and NHI teams?