Accountability usually sits with the system owner, identity governance team, and security operations function together. The event may not be a breach, but it still exposes whether ownership, revocation, and monitoring were aligned. Frameworks such as NIST CSF and ISO 27001 expect clear control ownership and evidence of operational effectiveness.
Why This Matters for Security Teams
An exposed inactive credential is not automatically a breach, but it is still a control failure with an owner. The question is less about whether attackers used it and more about whether identity governance, system ownership, and monitoring were able to prove the credential was disabled, scoped correctly, and detectable if touched. That is why NIST control language and the OWASP Non-Human Identity Top 10 both treat inventory, lifecycle management, and accountability as operational requirements, not paperwork.
NHIMG research has shown how quickly exposed secrets can be acted on in the wild. In LLMjacking: How Attackers Hijack AI Using Compromised NHIs, Entro Security reports that when AWS credentials are exposed publicly, attackers attempt access within an average of 17 minutes, and as quickly as 9 minutes in some cases. Even when no breach follows, that exposure still reveals whether ownership and revocation were aligned. In practice, many security teams discover this gap only after an audit exception, not through intentional lifecycle governance.
How It Works in Practice
Accountability for an inactive exposed credential usually spans three functions. The system owner is accountable for knowing why the credential existed, whether it should still exist, and what service or workload depends on it. The identity governance team is accountable for lifecycle controls such as deprovisioning, expiry, and periodic review. Security operations is accountable for detection, alerting, and evidence that exposure did not progress into misuse. NIST SP 800-53 Rev. 5 formalises this through control families that expect traceable ownership and continuous monitoring, while OWASP Non-Human Identity Top 10 highlights the risk created when non-human credentials outlive their purpose.
In practice, the right response is not to argue over blame after the fact. It is to document who approves issuance, who owns revocation, who receives exposure alerts, and who verifies the credential is no longer usable. Where possible, teams should move from long-lived static secrets to short-lived credentials, with explicit expiry and automated rotation. NHIMG’s Ultimate Guide to NHIs - Static vs Dynamic Secrets explains why TTL matters differently for machine credentials than for human accounts. Security teams should also preserve evidence: last-use timestamps, revocation time, alerting records, and the business rationale for keeping an inactive credential at all.
- Assign one named business owner for each credentialed system.
- Link every inactive credential to a revocation ticket and expiry date.
- Alert on exposure even when the credential is already disabled.
- Verify that old tokens, keys, and backups cannot still authenticate.
These controls tend to break down in legacy service accounts and shared automation environments because no single team can prove who still depends on the credential.
Common Variations and Edge Cases
Tighter credential governance often increases operational overhead, so organisations must balance fast recovery against the cost of constant review and revocation. That tradeoff becomes sharper when a credential is inactive but still embedded in scripts, CI pipelines, or backup jobs. In those cases, the security team may find that the “inactive” label is misleading because the secret is dormant in one system but still reachable from another.
There is no universal standard for assigning blame in every incident workflow, but current guidance suggests accountability should follow control ownership rather than incident severity. If the credential belonged to a cloud workload, platform engineering may share responsibility with the application owner. If it was an abandoned service principal, identity governance and the system owner both failed lifecycle enforcement. If exposure was detected but not escalated, security operations may have failed monitoring or alert triage. The practical lesson is that an exposed but unused credential still deserves remediation, because it proves that inventory, revocation, and detection were not fully aligned. NHIMG’s 52 NHI Breaches Analysis is useful here because many compromises begin with poor lifecycle control, not with a sophisticated exploit.
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 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 | Inactive exposed credentials still require lifecycle control and timely revocation. |
| NIST CSF 2.0 | PR.AA-01 | Accountability depends on knowing who owns and manages identity assets. |
| NIST AI RMF | GOVERN | AI governance principles reinforce accountable control ownership and oversight. |
| CSA MAESTRO | IDM-02 | Machine identity lifecycle management is central when secrets are exposed but inactive. |
Track every non-human credential to an owner, expiry, and revocation path before exposure becomes misuse.
Related resources from NHI Mgmt Group
- How can organizations manage the risk of credential leaks in MCP frameworks?
- Should organisations prioritise external exposure or internal credential governance first?
- How do organisations reduce the dwell time of exposed credentials at scale?
- Who is accountable when a supply-chain breach persists because an NHI credential survived rotation?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on July 14, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org