Accountability usually spans identity owners, platform owners and security operations because the failure is distributed across issuance, scope, monitoring and revocation. In practice, frameworks such as Zero Trust and NHI governance require named ownership for each trust path, not just for the initial login event.
Why This Matters for Security Teams
When a compromised token is reused across multiple systems, accountability becomes harder because the incident is no longer a single access failure. It becomes a chain of issuance, exposure, reuse, monitoring gaps, and delayed revocation. That is why NHI governance treats tokens, service identities, and workload permissions as first-class assets, not just artifacts of login. The practical lesson is visible in cases like the Salesloft OAuth token breach and the broader patterns documented in The 52 NHI breaches Report.
The security team’s mistake is usually assuming the owner of the original token is solely responsible. In reality, the identity team may own issuance, the platform team may own propagation rules, the application team may own scope design, and security operations may own detection and response. If any one of those controls fails, the token can move laterally with legitimate-looking access. Current guidance from the NIST Cybersecurity Framework reinforces that accountability must map to the full trust path, not only the first authentication event. In practice, many security teams encounter this only after cross-system access has already been used to widen the blast radius.
How It Works in Practice
Accountability for a compromised token should be assigned by control plane, not by blame alone. The token issuer owns how the credential was minted, scoped, and bound to a workload. The application or platform owner owns whether that token had excessive privileges, long TTL, or unnecessary reuse across systems. Security operations owns telemetry, anomaly detection, and revocation response. If the token is a non-human identity credential, the governance model should also reflect lifecycle ownership, because old tokens often outlive the system that created them.
Practically, teams should trace four questions: who issued the token, who approved its scope, who monitored its use, and who can revoke it immediately. That is the operational lens used in NHI incident review, and it aligns with patterns described in The 2025 State of NHIs and Secrets in Cybersecurity. If a token appears in logs across several systems, the responder should not stop at the first alert. They should verify whether the token was overused, duplicated, or left active after an ownership change. That is especially important for agentic and machine-to-machine flows, where human-style approval records are often absent.
- Assign a named owner for issuance, scope, and revocation for every token class.
- Map each token to a specific workload, environment, and allowed trust path.
- Rotate and revoke on a schedule, not only after compromise is confirmed.
- Correlate token use across IdP, cloud, API gateway, and SIEM telemetry.
These controls tend to break down when the same token is shared across applications, because cross-system reuse makes attribution and containment ambiguous.
Common Variations and Edge Cases
Tighter token ownership often increases operational overhead, requiring organisations to balance faster delivery against stricter control. That tradeoff becomes sharper in service meshes, partner integrations, and legacy platforms where teams rely on long-lived credentials to avoid breaking production. Best practice is evolving, but there is no universal standard for exactly how accountability should be split between platform engineering and security when a token crosses organisational boundaries.
One edge case is delegated access, where a token is valid by design across several services. In that model, the accountable party is usually the service owner who accepted the delegation pattern and the security team that approved the control exception. Another edge case is third-party automation, where the external vendor may operate the workload but the organisation still owns the data exposure and the token lifecycle. The Anthropic report on AI-orchestrated cyber espionage also shows why autonomous workflows complicate ownership, because one compromised identity can trigger chained actions faster than humans can assign blame. Guidance from NHI programs is strongest when every exception is documented before use, not after an incident.
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 | Addresses excessive token lifetime and weak rotation, both central to cross-system compromise. |
| NIST CSF 2.0 | PR.AC-4 | Covers access enforcement and least privilege across systems touched by the token. |
| NIST AI RMF | Supports governance and accountability for automated access decisions and trust paths. |
Map each token to least-privilege entitlements and review cross-system permissions regularly.
Related resources from NHI Mgmt Group
- Who is accountable when a compromised SaaS integration is used to move across multiple clouds?
- Who is accountable when a compromised API secret is reused across multiple systems?
- Who is accountable when a former employee account or stolen token is used in a breach?
- Who is accountable when a compromised machine identity is used to reach sensitive systems?
