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Who should be accountable for machine identity assets that have no clear owner?

No asset should be left in governance limbo. If a certificate, key, or secret cannot be tied to a responsible team, it should be escalated as an ownership defect and placed under temporary control until the service owner is identified or the asset is removed.

Why This Matters for Security Teams

Accountability is the control that prevents machine identities from becoming invisible risk. When certificates, keys, or secrets have no clear owner, they are rarely treated as first-class assets, which means expiry, rotation, revocation, and incident response all slow down at the exact moment speed matters. NHIs already outnumber human identities by 25x to 50x in modern enterprises, and the Ultimate Guide to NHIs shows how often those identities are left with weak governance and long-lived credentials. That is why ownership defects should be handled as operational failures, not documentation issues.

Current guidance in NIST Cybersecurity Framework 2.0 still maps cleanly here: if an asset cannot be identified, protected, monitored, and recovered by a named function, it is not governed. NHI programs fail when teams assume that “temporary” means “low priority,” because unowned credentials often become permanent in practice. In practice, many security teams encounter certificate outages, leaked API keys, or stale service accounts only after production impact or a breach has already occurred, rather than through intentional lifecycle control.

How It Works in Practice

The practical answer is to assign accountability at the control plane, even when business ownership is missing. A temporary custodian should be responsible for the asset until a service owner is confirmed, and that custodian must be empowered to rotate, quarantine, or remove the secret if risk is elevated. The goal is not to “own” the application forever, but to prevent a governance gap from turning into an unbounded trust relationship. The Top 10 NHI Issues and the 52 NHI Breaches Analysis both reinforce the same pattern: poor visibility and unclear ownership are recurring breach enablers.

A workable operating model usually includes:

  • Asset registration with a unique identifier, system context, and expiry date.
  • Temporary assignment to PAM, platform, or security operations when no owner is known.
  • JIT or short-lived replacement credentials where possible, instead of extending the unknown secret.
  • Escalation rules that force a service owner decision within a defined SLA.
  • Removal or rotation if the asset cannot be validated as required for the service.

This aligns with least privilege and continuous verification principles in NIST Cybersecurity Framework 2.0, but there is no universal standard for the exact handoff timing yet. Best practice is evolving toward automated ownership reconciliation, because manual tracking breaks down when inventories are incomplete, especially in CI/CD, ephemeral workloads, and third-party integrations. These controls tend to break down when secrets are embedded in build pipelines or legacy services because the original owner is gone and the replacement team lacks deployment context.

Common Variations and Edge Cases

Tighter governance often increases operational overhead, requiring organisations to balance speed against certainty. That tradeoff is especially visible when a secret supports a legacy system, a vendor integration, or a shared platform account that multiple teams depend on. In those cases, current guidance suggests using temporary control with a narrow exception window rather than allowing indefinite ambiguity. The key question is not whether the asset is inconvenient to fix, but whether anyone can be held responsible for its rotation, monitoring, and removal.

There are also edge cases where ownership is ambiguous by design. Shared infrastructure accounts, break-glass credentials, and platform-managed certificates may not map neatly to a single application team, but they still need a named accountable function. For those scenarios, the right answer is often a control owner in security or infrastructure, backed by documented approval paths and review cadence. The ownership model should be explicit enough that Non-Human Identities are never left in a permanent exception state.

For identity programs moving toward autonomous operations, the same logic applies to machine-issued secrets and workload credentials. If the asset cannot be tied to a service owner, it should be handled as a live risk object, not as dormant inventory. Unowned secrets are the kind of problem that looks administrative until an outage, audit finding, or compromise proves otherwise.

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-01 Unowned machine identities create visibility and ownership gaps.
NIST CSF 2.0 ID.AM-1 Asset management depends on knowing what exists and who owns it.
NIST AI RMF GOVERN Accountability is a governance requirement for autonomous systems.

Maintain an authoritative inventory with owner, purpose, and lifecycle state for each secret.