Accountability usually sits with the identity, security, and infrastructure owners together, because insurers are assessing operational control rather than one isolated tool. If evidence is missing, the problem is often governance scope, not just technology. Teams should be able to name the control owner, the evidence source, and the remediation path.
Why This Matters for Security Teams
Insurers are rarely judging a single product. They are judging whether the organisation can prove who owns the control, where the evidence comes from, and how failure is remediated. That matters because identity control gaps often show up first in service accounts, API keys, and other NHIs, where visibility is weak and ownership is split across security, platform, and application teams. NHI governance guidance in the Ultimate Guide to NHIs is clear that operational discipline, not just tooling, is what insurers expect to see.
From a control perspective, the question is less “did a policy exist?” and more “was it enforced, evidenced, and reviewed?” That aligns with the NIST Cybersecurity Framework 2.0, which treats identity governance as an ongoing operational function rather than a one-time setup. In practice, many security teams encounter weak accountability only after an insurer asks for proof that no one can easily produce.
How It Works in Practice
Accountability usually sits with three owners working together: the identity team defines the policy, the security team verifies the control objective, and the infrastructure or application owner supplies evidence that the control is actually operating. For NHIs, that means knowing which team owns the workload identity, which system issues the secret, and which process rotates or revokes it. If any one of those is unclear, insurers will often treat the control as incomplete even if the technical safeguard exists.
A practical review should map the control path end to end:
- Who owns the NHI or agent workload identity?
- Where are secrets issued, stored, and rotated?
- What evidence proves least privilege, JIT provisioning, or revocation?
- Who gets alerted when a control fails, and who signs off remediation?
That is why the 52 NHI Breaches Analysis is useful: it reinforces that failures usually involve governance gaps, not just a missing setting. The risk is especially visible when secrets remain valid long after exposure. NHI Mgmt Group’s Ultimate Guide to NHIs notes that 91.6% of secrets remain valid five days after notification, showing how weak revocation can extend exposure well beyond detection.
In practice, this means evidence packs should include ownership records, rotation logs, access review results, and incident tickets linked to remediation. These controls tend to break down when ownership is distributed across DevOps, platform engineering, and security with no single system of record, because insurers then see process fragmentation rather than control assurance.
Common Variations and Edge Cases
Tighter accountability often increases coordination overhead, so organisations need to balance auditability against delivery speed. That tradeoff is especially visible in cloud-native and agentic environments, where workloads can be ephemeral, credentials are short-lived, and access may need to be granted at runtime rather than through static RBAC alone. Current guidance suggests that evidence should still be attributable to a named owner, even when the control is automated.
Edge cases usually involve shared platforms, third-party integrations, or autonomous AI agents. In those environments, the “owner” may not be the person who created the secret; it is often the team responsible for the control outcome. For agentic systems, that also includes the policy engine that authorises actions, the workload identity that proves the agent is legitimate, and the process that revokes access after task completion. The emerging pattern is to use runtime policy evaluation and short-lived credentials, but there is no universal standard for how that evidence should be packaged for insurers yet. Frameworks such as Top 10 NHI Issues and NIST-aligned assurance reviews help teams explain why a control is sound, but they do not remove the need for a clearly named accountable owner.
That is also why breach-specific evidence matters. The DeepSeek breach illustrates how exposed secrets can create immediate governance questions, while the broader NHI literature shows why insurers focus on operational maturity. For cloud platforms and AI-driven workloads, accountability becomes hardest when access changes faster than the organisation’s evidence process 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 address the attack and risk surface, while NIST CSF 2.0 and NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-03 | Rotation and revocation control maps to insurer evidence of secret hygiene. |
| NIST CSF 2.0 | PR.AC-4 | Least-privilege access governance is central to proving identity control ownership. |
| NIST AI RMF | AI governance needs clear accountability for autonomous systems and their actions. |
Assign a control owner for each autonomous workload and review runtime decisions continuously.
Related resources from NHI Mgmt Group
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Reviewed and updated by the NHIMG editorial team on June 6, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
