Identity risk should be owned jointly by security, IAM, and application or platform teams, but governed centrally so controls are consistent. When third-party access, machine identities, and human authentication are managed in separate silos, attackers exploit the seams. Central accountability with distributed execution is the right model.
Why This Matters for Security Teams
Identity risk becomes dangerous when ownership is split across users, NHIs, and third parties, because each group tends to be governed by a different team, toolset, and review cycle. That fragmentation creates blind spots at the seams: a human user may be approved in IAM, a service account may live in a platform team, and a vendor token may be managed in procurement or application support. Attackers do not respect those boundaries.
NHIMG research shows how often those seams become real exposure. In the Ultimate Guide to NHIs, 92% of organisations expose NHIs to third parties, while 97% of NHIs carry excessive privileges. That combination makes shared accountability essential, not optional. The problem is not just who can log in, but who can approve, rotate, revoke, and investigate identity risk across systems and suppliers. The same concern appears in the OWASP Non-Human Identity Top 10, which highlights how neglected machine identities and weak lifecycle controls become breach paths.
In practice, many security teams discover the ownership gap only after a vendor token, service account, or delegated admin path has already been abused.
How It Works in Practice
The operating model that works best is central accountability with distributed execution. Security should own the policy, risk taxonomy, and exception handling. IAM should own the identity control plane, including authentication standards, federation, lifecycle triggers, and review workflows. Application, platform, and vendor owners should own implementation details such as account inventory, credential rotation, scoped permissions, and offboarding. That division keeps accountability clear while avoiding a single bottleneck for every operational action.
For organisations aligning to the NIST Cybersecurity Framework 2.0, this usually maps to Identify, Protect, and Detect activities that span multiple asset classes. In NHI governance, the same principle applies across humans, machines, and third parties. NHIMG’s 52 NHI Breaches Analysis shows that compromise patterns often begin with exposed secrets, stale access, or poor revocation discipline, which means no single team can safely “own” the problem end to end without shared operational responsibility.
A practical ownership model usually includes:
- One accountable risk owner for policy, standards, and escalation decisions.
- One system owner for each identity source, such as IAM, PAM, secrets vaults, SaaS tenants, or workload platforms.
- One business or technical owner for every third-party relationship and every privileged application path.
- One review cadence for access, rotation, and revocation across all identity types.
What matters most is that all three groups see the same inventory, the same risk ratings, and the same exception backlog. These controls tend to break down in large federated enterprises where departments can approve access locally but have no shared revocation process.
Common Variations and Edge Cases
Tighter central control often increases coordination overhead, requiring organisations to balance consistent governance against the speed needed by product teams and vendors. That tradeoff is real, especially where acquisition, outsourcing, or regional autonomy has produced different identity stacks. Current guidance suggests centralising the policy decision while allowing local execution, rather than forcing every identity action through one operational queue.
There is no universal standard for how to split responsibility for third-party identities, but the best practice is evolving toward explicit RACI models, control owners, and evidence-based reviews. If a vendor manages a service account inside its own environment, security still needs oversight of the trust relationship, permission scope, expiry, and termination conditions. If a platform team creates workload identities, it should not also be the only team that can approve risk exceptions. NHIMG’s Top 10 NHI Issues is useful here because it reinforces that lifecycle failures, excessive privilege, and missing visibility are control failures, not just operational annoyances.
The model breaks down most often in merger environments, outsourced operations, and multi-cloud estates where identity evidence is scattered across tools and contracts because no single team can see the full trust chain.
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-01 | Identity ownership gaps create ungoverned NHI risk across teams. |
| NIST CSF 2.0 | GV.OV-01 | Central accountability and oversight are core governance requirements. |
| CSA MAESTRO | GOV-2 | Agentic and third-party identity risk needs clear governance across control domains. |
Create a cross-functional governance model that assigns policy, operations, and exception ownership.
