Accountability sits with the identity and platform owners who approve, issue, and retire those credentials, not with the cloud provider. Certificates, service account keys, and other machine credentials should be governed as first-class identities with clear ownership, lifecycle controls, and audit evidence. Without that, outages, leakage, and access drift become shared blind spots across teams.
Why This Matters for Security Teams
When machine credential and certificates are treated as mere configuration artifacts, accountability becomes diffuse. Identity teams may issue them, platform teams may deploy them, application owners may rely on them, and no one may own the full lifecycle. That gap creates avoidable outages, silent access drift, and audit blind spots. Current guidance from the OWASP Non-Human Identity Top 10 and NIST Cybersecurity Framework 2.0 both point toward explicit ownership and continuous control validation, not informal shared responsibility.
NHIMG research shows how far this problem has already spread: in The 2024 Non-Human Identity Security Report, only 19.6% of security professionals expressed strong confidence in securely managing non-human workload identities, while 88.5% said their NHI practices lag human IAM. That is not a tooling-only issue. It is a governance failure that starts when certificates, service account keys, and API tokens are not assigned to a named owner with authority to approve, rotate, and retire them.
In practice, many security teams encounter credential sprawl only after an expired certificate, leaked key, or unexplained privilege path has already caused the incident.
How It Works in Practice
The practical fix is to govern machine credentials as first-class identities, not as opaque secrets. That means every certificate, key pair, workload token, or service account should have an owner, a business purpose, a scope of use, a rotation policy, and an auditable retirement path. The identity team usually defines the control plane, while the platform or application owner remains accountable for operational use and timely renewal. NHI governance becomes much stronger when it is anchored in the patterns described in Ultimate Guide to NHIs — What are Non-Human Identities and the lifecycle risks highlighted in Guide to the Secret Sprawl Challenge.
Operationally, this usually includes:
- Assigning a named business and technical owner for each machine identity.
- Maintaining inventory that maps credentials to workloads, APIs, and environments.
- Using short-lived credentials where possible, with automated renewal and revocation.
- Requiring certificate lifecycle controls to be tested before production rollout.
- Logging issuance, use, rotation, and deletion events for audit evidence.
Strong programs also align machine identity controls to NIST SP 800-53 Rev. 5 Security and Privacy Controls, especially where access control, auditability, and system integrity intersect. The key is to stop treating credentials as one-time deployment objects and instead manage them like living identities with measurable accountability. These controls tend to break down in multi-cloud environments with high deployment velocity because ownership handoffs, certificate renewal windows, and inventory reconciliation become too fragmented to sustain manually.
Common Variations and Edge Cases
Tighter credential governance often increases operational overhead, so organisations have to balance stronger accountability against release velocity and platform complexity. That tradeoff is real, especially where DevOps teams create ephemeral workloads, managed services issue credentials automatically, or legacy applications cannot easily support rotation. Best practice is evolving here, and there is no universal standard for every environment.
One common edge case is shared platform certificates that support many services. Those should still have a clear owner, but the accountability model may need to be split between the platform team that operates the trust boundary and the application teams that consume it. Another is outsourced or cloud-hosted infrastructure, where the provider may manage the underlying service, but governance for the credentials used by the customer still remains with the customer. The same principle applies to secrets leakage scenarios documented in NHIMG research such as the MongoBleed breach and the Shai Hulud npm malware campaign, where unmanaged secrets become easy pivot points.
For governance, the safest interpretation is simple: if a machine credential can authenticate, authorise, or be abused, it needs an accountable identity owner and a lifecycle owner. That principle is consistent with NIST Cybersecurity Framework 2.0 and the OWASP Non-Human Identity Top 10, even when the implementation details vary by stack.
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, NIST SP 800-63, NIST Zero Trust (SP 800-207) 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 | Treats unmanaged machine credentials as an identity governance gap. |
| NIST CSF 2.0 | PR.AC-1 | Access governance depends on identifying and controlling non-human identities. |
| NIST SP 800-63 | Digital identity assurance principles inform lifecycle control for machine credentials. | |
| NIST Zero Trust (SP 800-207) | AC-4 | Zero Trust requires continuous evaluation of workload identity and authorization. |
| NIST AI RMF | GOVERN | Accountability for autonomous or automated credential use starts with governance. |
Apply identity proofing, binding, and lifecycle discipline to machine credentials and certificates.
