Clinical AI Risk Controls Ownership: How to Divide Accountability Between the CMIO and the CISO
Allocate ownership one control at a time, not by executive. The CMIO is typically accountable for clinical safety validation and clinical performance signals. The CISO is typically accountable for access, data protection, enforcement integrity, and incident response. Controls that span both domains, such as tool-call approval, runtime monitoring, and audit evidence, need one named accountable owner per decision type, with the other role formally consulted.
Why clinical AI controls fall into an ownership gap
Clinical AI controls span both clinical safety and security. When ownership is assigned by executive title rather than by control, some decisions end up with two owners and others with none.
Allocating one control at a time avoids this. Each control is placed with the role best positioned to be accountable for it, and the other role is brought in where the control crosses domains.
Controls that require joint accountability
Three controls span both the CMIO and CISO domains:
- Tool-call approval and governance
- Runtime monitoring
- Audit evidence
Rule of thumb: each shared control needs one named accountable owner per decision type, with the other role formally consulted.
Recommended RACI by control domain
The table summarizes control ownership at a glance: which controls are led by the CMIO, which by the CISO, and which are shared.
| Pattern | Controls | Allocation |
|---|---|---|
| CMIO-led | Clinical safety validation, clinician override, and clinical performance review. | The CMIO is typically accountable for clinical safety validation and clinical performance signals. |
| CISO-led | Data access, agent identity, least privilege, log integrity, and incident response. | The CISO is typically accountable for access, data protection, enforcement integrity, and incident response. |
| Shared, single accountable owner | Tool-call governance and runtime monitoring, split by decision type. | One named accountable owner per decision type, with the other role formally consulted. |
| Documented | Decision rights, escalation paths, and audit evidence for every control. | Recorded for each control so that ownership can be demonstrated. |
Documenting decision rights, escalation, and audit evidence
Use the following checklist to record the allocation for each control.
- Define approval authority per deployment: State who can approve, conditionally approve, or block a clinical AI deployment, and which approvals need both roles.
- Name one accountable owner per control: Where a control is shared, specify the split by decision type so no decision has two owners or none.
- Write escalation paths by signal type: Map clinical, security, and combined signals to named responders, with expected response steps.
- Link incident response to clinical safety reporting: Make sure a security event involving an AI agent can be raised as a clinical safety event, and the reverse.
- Specify audit evidence per control: List the artifact, the owner, and where it is stored: validation records, permission grants, tool approvals, logs, and override records.
- Review on a fixed schedule: Revisit the allocation when a new agent type, tool, or data source is added, and at least once a year.
Evaluating runtime governance capabilities against the allocation
Once ownership is documented, evaluate runtime governance capabilities against it. Runtime policy enforcement and audit logging should support both clinical oversight and security operations, so that each accountable owner can act on, and produce evidence for, the controls assigned to them.
Map your clinical AI controls to accountable owners
Talk through your control allocation and see how runtime policy enforcement and audit logging can support both clinical oversight and security operations.
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