Who is accountable for governing machine identities and service accounts in compliance audits?

Why This Matters for Security Teams

Compliance audits do not stop at human users. Machine identities and service accounts often have broader reach, longer lifetimes, and weaker ownership than employee accounts, which makes them a frequent blind spot in evidence collection. NHI Management Group’s Top 10 NHI Issues and the Ultimate Guide to NHIs — Regulatory and Audit Perspectives both show that auditors are increasingly asking the same basic questions: where are these identities, who owns them, what do they access, and how is that access reviewed and removed.

That accountability matters because the audit finding is rarely “too many accounts” and more often “no one could prove control.” In practice, service accounts drift into shared ownership across identity, platform, application, and operations teams, which creates gaps in review, rotation, and deprovisioning. Frameworks such as the NIST Cybersecurity Framework 2.0 expect clear governance and traceability, but machine identities break those expectations when they are treated as technical artifacts instead of governed identities. In practice, many security teams discover the ownership gap only after an auditor asks for revocation evidence, rather than through intentional lifecycle control.

How It Works in Practice

Accountability should be assigned, not assumed. Identity leadership typically owns policy and inventory standards, security owns control design and audit evidence, and operations or application owners own the day-to-day business justification for each service account. That division is important because the control objective is not just “who created it,” but who can answer for its lifecycle, access scope, and exceptions. NHI Management Group’s NHI Lifecycle Management Guide is useful here because audit readiness depends on lifecycle evidence, not a one-time spreadsheet snapshot.

In practice, a defensible programme usually includes:

• An authoritative inventory of every machine identity, service account, token, API key, and certificate.
• A named business owner and technical custodian for each identity.
• Documented purpose, system scope, and approved privileges.
• Periodic access reviews with evidence of approval, exception handling, and revocation.
• Rotation, expiry, and offboarding controls tied to change management.

The strongest audit posture aligns with the control expectations in NIST SP 800-53 Rev 5 Security and Privacy Controls, especially where accountability, access enforcement, and system configuration intersect. The Ultimate Guide to NHIs — Lifecycle Processes for Managing NHIs also notes that most organisations still struggle with full visibility into service accounts, which means audits often become forensic exercises unless ownership is embedded in change and release processes from the start. These controls tend to break down when service accounts are embedded in legacy applications or CI/CD pipelines because no single team can safely approve changes without risking outages.

Common Variations and Edge Cases

Tighter accountability often increases operational overhead, requiring organisations to balance auditability against release velocity and platform complexity. That tradeoff is especially visible in shared platform accounts, third-party integrations, and break-glass identities, where the owner may be a team rather than a single person. Current guidance suggests that shared ownership is acceptable only when it is explicit, documented, and reviewable; there is no universal standard for this yet, but auditors generally reject informal “everyone owns it” models.

Edge cases also appear when accounts are created by automation. In those environments, the question is not whether a human typed the credential, but whether the workflow has a clear sponsor, approval path, and revocation trigger. NHI Management Group’s 52 NHI Breaches Analysis is a reminder that compromised machine identities are often exploited because ownership and review are weak, not because the underlying systems are exotic. For governance programmes, the practical rule is simple: every machine identity needs an accountable owner, a technical steward, and evidence that access was reviewed in line with policy, even when the identity is ephemeral or created by a pipeline.

Related resources from NHI Mgmt Group

• Why do service accounts and other privileged identities create SOX control risk?
• Who is accountable for compliance and governance when machine learning systems move into production?
• How should security teams govern non-human identities for compliance?
• Why do non-human identities create more audit risk than human accounts?