Accountability sits with the organisation that creates, assigns, and uses the machine identity, even when cloud platforms provide the underlying infrastructure. Shared responsibility changes the control boundary, not the duty to govern access, rotation, monitoring, and offboarding. Security, IAM, cloud, and application teams typically share ownership, but someone must own policy, enforcement, and evidence.
Why This Matters for Security Teams
Shared responsibility often creates a false sense of delegation. Cloud providers secure the platform, but they do not own the lifecycle of workload credentials, service accounts, API keys, or automation tokens created by the customer. That means the organisation that issues the identity is still accountable for access design, rotation, monitoring, and retirement, even when the workload runs entirely in managed cloud services.
This matters because NHI failures tend to spread across teams. Cloud engineering may create the identity, application teams may embed it, and security may only discover the exposure during an audit or incident. NHIMG research shows the gap is real: only 19.6% of security professionals express strong confidence in securely managing non-human workload identities, and 88.5% say their practices lag behind or merely match human IAM. See the 2024 Non-Human Identity Security Report and the Top 10 NHI Issues for the operational pattern behind that gap.
Standards reinforce the same idea. NIST treats identity, access, and monitoring as organisational responsibilities, not provider-only tasks, in the NIST Cybersecurity Framework 2.0. In practice, many security teams encounter NHI ownership only after a secret is exposed, rather than through intentional governance design.
How It Works in Practice
Accountability in a shared cloud model should be assigned by control, not by platform. The cloud provider owns infrastructure security, while the customer owns the identity objects, permissions, secrets, and operational evidence tied to those identities. That includes service principals, workload roles, OAuth app grants, certificates, and any automation that can authenticate without a human present.
A practical ownership model usually maps to four functions:
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IAM and platform teams define identity standards, lifecycle rules, and approved authentication methods.
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Application and engineering teams request, embed, and use the identity in code, pipelines, or workloads.
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Security teams set policy, monitor exceptions, and validate evidence for rotation, logging, and offboarding.
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Cloud operations teams enforce guardrails through account, subscription, and tenant controls.
For governance to hold, organisations need named owners for each identity class and each control point. That means one team owns policy, another owns implementation, and a third owns assurance. In environments with high automation, best practice is to treat every NHI as a managed asset with a lifecycle, just as NHIMG describes in its Lifecycle Processes for Managing NHIs guidance. The operational objective is simple: prove who created the identity, who approved it, who can use it, where it is used, and how it is retired.
Controls from NIST SP 800-53 Rev. 5 Security and Privacy Controls support this model through access management, audit logging, and configuration oversight. These controls tend to break down when cloud teams treat identity creation as a deployment detail and never attach an accountable owner to the workload after it goes live.
Common Variations and Edge Cases
Tighter accountability often increases process overhead, requiring organisations to balance clear ownership against the speed of cloud delivery. That tradeoff is especially visible in platform teams, multi-account organisations, and managed service arrangements where multiple parties touch the same identity.
There is no universal standard for this yet, but current guidance suggests the customer remains accountable even when a third party operates parts of the stack. In multi-cloud environments, this becomes harder because each provider exposes different identity primitives, logs, and rotation mechanisms. NHIMG notes that 35.6% of organisations cite consistent access across hybrid and multi-cloud environments as their top NHI security challenge, which is why a single control owner is often more important than a single technical tool. The Regulatory and Audit Perspectives section is useful when teams need evidence that accountability survived handoffs.
Edge cases include vendor-managed SaaS integrations, where the vendor may operate the service but the customer still owns granted scopes and business approvals. The same applies to ephemeral workloads: short-lived credentials reduce exposure, but they do not remove accountability for issuance policy, logging, or revocation. Security leaders should assume that if the organisation can change or revoke the identity, it owns the governance obligation. That principle becomes hardest to enforce when identities are embedded inside CI/CD pipelines or outsourced operational support, because no one notices missing ownership until a breach or audit asks for proof.
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, NIST SP 800-53 Rev 5 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 | Ownership and lifecycle governance are core to non-human identity control. |
| NIST CSF 2.0 | GV.OC-1 | Governance requires clear organisational roles and responsibilities. |
| NIST SP 800-53 Rev 5 | AC-2 | Accountability depends on managing accounts and their lifecycle. |
| NIST AI RMF | AI governance principles help formalise accountability for autonomous identities. | |
| CSA MAESTRO | MAESTRO addresses responsibility boundaries for agentic and automated workloads. |
Set explicit accountability, oversight, and evidence requirements for each autonomous identity use case.
Related resources from NHI Mgmt Group
- Who should be accountable for cloud identity governance when both developers and non-human identities need access?
- Who is accountable for API governance in hybrid and multi-cloud environments?
- Who is accountable when manual identity governance fails to keep up with cloud and SaaS access changes?
- Who is accountable when a cloud identity governance platform is used in a regulated environment and a control failure occurs?
