Who is accountable for securing non-human identities and their secrets?

Why This Matters for Security Teams

Accountability for non-human identities is not just an ownership question. It determines whether secrets are governed as part of a repeatable control system or left to drift across code, cloud services, CI/CD, and chat tools. NHI failures typically emerge where identity, platform, and application responsibilities overlap, which is why a clear control owner matters more than a single technical admin. NHI Management Group has shown how quickly secrets sprawl becomes operational debt in the Guide to the Secret Sprawl Challenge.

The security and identity programme should define policy, approval gates, and minimum standards, while engineering teams implement those controls in pipelines and runtimes. That division is important because the same secret can be duplicated, embedded, and reused in ways that are invisible to a central team. Vendor research from Entro Security found that 60% of NHIs are being overused, which is a strong signal that account ownership without usage governance is not enough. The practical lesson aligns with the OWASP Non-Human Identity Top 10 and the control expectations in NIST SP 800-53 Rev 5 Security and Privacy Controls.

In practice, many security teams encounter NHI abuse only after a token has already been reused across multiple applications and environments, rather than through intentional lifecycle governance.

How It Works in Practice

Effective accountability starts with a named control owner in security or identity, then breaks down into enforceable responsibilities for platform, cloud, application, and DevOps teams. The security owner sets the standard for secret issuance, rotation, offboarding, logging, and exception handling. Engineering teams then apply those rules where NHIs are actually created and used: source control, build systems, runtime orchestration, service meshes, and cloud-native workloads.

A workable operating model usually includes:

• Security defines policy for secret creation, storage, rotation, and revocation.
• Platform and cloud teams integrate vaults, workload identity, and runtime policy.
• Application teams remove hardcoded secrets and replace them with managed issuance.
• DevOps teams enforce checks in pipelines and block unsafe deployments.
• Identity teams review ownership, lifecycle state, and exception approvals.

For implementation detail, practitioners should map this shared responsibility model to the Ultimate Guide to NHIs — Static vs Dynamic Secrets and use runtime controls that are consistent with NIST SP 800-53 Rev 5 Security and Privacy Controls. This is especially important when secrets appear outside repositories. GitGuardian’s research found that 28% of secrets incidents now originate outside code, in Slack, Jira, and Confluence, which means ownership has to extend beyond source control. Current guidance suggests central policy with distributed execution, but there is no universal standard for exact team boundaries yet. These controls tend to break down in fast-moving CI/CD environments because the systems that issue and consume secrets are often owned by different teams with different release cadences.

Common Variations and Edge Cases

Tighter accountability often increases approval overhead, requiring organisations to balance faster delivery against stronger control. That tradeoff becomes visible in edge cases such as shared service accounts, ephemeral build runners, AI-assisted development, and third-party integrations, where a single owner may not see the full attack surface. In those cases, best practice is evolving toward a control-owner model, not a sole-operator model.

There are also environments where accountability is split by design. In regulated industries, a central security function may own policy and evidence, while each product team owns the NHI instance, secret storage path, and revocation workflow. In cloud-native shops, platform engineering often becomes the enforcement layer because it controls IAM templates, secrets brokers, and workload identity. The key is to avoid ambiguity: every NHI should have a named business owner, a technical owner, and a control owner. NHI Management Group’s research on supply-chain exposure in the Reviewdog GitHub Action supply chain attack shows why pipeline ownership matters as much as application ownership. In high-churn environments, accountability collapses when secret lifecycle events are treated as ad hoc tickets instead of policy-enforced automation.

Where teams rely on long-lived shared credentials or unmanaged vault sprawl, even a clear RACI can fail because no one can prove who last rotated, used, or revoked the secret.

Related resources from NHI Mgmt Group

• Who is accountable when AI agents and other non-human identities make access decisions that create risk?
• How should security teams govern non-human identities at scale?
• How should security teams govern non-human identities for compliance?
• Why do non-human identities create more audit risk than human accounts?