Ownership should sit with identity governance and security leadership together, because the control problem spans data quality, policy enforcement, logging, and lifecycle management. That shared ownership becomes even more important as the same governance gaps begin to affect service accounts, tokens, and other NHIs.
Why This Matters for Security Teams
continuous governance is not just an IAM operations problem or an NHI inventory exercise. It is the control layer that keeps policy, lifecycle, and audit evidence aligned as identities proliferate across SaaS, cloud, CI/CD, and autonomous workloads. When ownership is split too loosely, teams often optimise their own domain while missing the cross-domain failure modes that create real exposure. The current guidance in NIST Cybersecurity Framework 2.0 is clear that governance must be continuous, measurable, and tied to risk outcomes, not left as a periodic review.
That matters because NHI risk is already showing up at scale. In the 2024 ESG Report on managing non-human identities, 72% of organisations said they have experienced or suspect a breach involving NHIs, and 88.5% said their NHI practices lag human IAM. Those numbers point to a programme ownership gap, not just a tooling gap. In practice, many security teams encounter governance failure only after a token, service account, or agent credential has already been overused or mis-scoped.
How It Works in Practice
The most effective operating model is shared ownership with clear decision rights. Identity governance owns policy definition, review cadence, role and entitlement attestation, and joiner-mover-leaver controls. Security leadership owns risk tolerance, detection requirements, exception handling, and escalation paths. Together, they oversee both human IAM and NHIs so the same control plane can govern service accounts, API keys, certificates, and emerging agent identities.
Practically, this means treating nhi governance as a lifecycle problem rather than a one-time provisioning problem. The lifecycle processes for managing NHIs should include discovery, classification, owner assignment, risk scoring, rotation, revocation, and periodic recertification. Continuous governance should also use policy-as-code where possible so control checks are repeatable and auditable. For IAM teams, that usually means feeding entitlement data, logs, and drift signals into a central governance workflow rather than managing access reviews in disconnected spreadsheets.
For NHI programmes, the governance layer should answer three questions at all times: who owns the credential, what workload or system uses it, and what evidence proves it is still needed. The regulatory and audit perspective on NHIs is especially useful here because auditors increasingly want demonstrable accountability, not just technical controls. That aligns with broader NIST guidance on continuous monitoring and governance under the Cybersecurity Framework. These controls tend to break down in fast-moving DevOps environments where credentials are created outside the identity team and never return to a governed lifecycle.
Common Variations and Edge Cases
Tighter governance often increases coordination overhead, so organisations must balance stronger control with delivery speed. That tradeoff is real, especially where platform teams, application owners, and security all believe they own part of the same identity estate. Best practice is evolving, but there is no universal standard for a single operating model yet.
In mature environments, security leadership may chair the governance forum while IAM runs the control operations and application or platform teams remain accountable for their own NHIs. In regulated sectors, audit and compliance may also need a formal role in evidence collection and exception review. The key is to avoid fragmented ownership where no one is accountable for dormant credentials, unrotated secrets, or orphaned service accounts.
NHIMG research on Top 10 NHI Issues shows why this matters: the most common failures are often operational, not theoretical. Where autonomous agents enter the picture, governance must widen further to cover runtime privilege, short-lived credentials, and policy enforcement at request time. In those cases, traditional IAM committees alone are rarely enough because the environment changes faster than quarterly review cycles can keep up.
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 |
|---|---|---|
| NIST CSF 2.0 | GV.OC-01 | Continuous governance needs clear organisational context and ownership. |
| OWASP Non-Human Identity Top 10 | NHI-01 | Identity lifecycle control is central to governing service accounts and tokens. |
| CSA MAESTRO | GOV-01 | Agent and NHI governance require clear ownership, policy, and oversight. |
Define governance roles that cover policy, monitoring, and exception handling across agents and NHIs.
Related resources from NHI Mgmt Group
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on June 10, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
