Shared Responsibility for Healthcare AI Cloud Security

Shared responsibility for healthcare AI cloud security is a split of duties: the operator hardens tenancy, facilities, and the control plane, while the covered entity still owns identities, data classification, RAG ACLs, and what staff paste into prompts. A BAA allocates legal HIPAA roles. It does not configure your workspace. Mixing the two documents is how both sides point at the other after an incident.

This is an operational RACI, not legal advice, and not a certification claim. HIPAA-ready infrastructure can host the split. It cannot run your access reviews for you.

A practical split

If the customer never classifies data, exclusive GPUs still train on the wrong corpus. If the operator cannot isolate nodes, the customer’s IAM cannot save a noisy-neighbor dump. Write both columns. Put them in the onboarding packet, not in a slide after go-live.

Where programs fail

Assuming “HIPAA-ready” means the vendor does HIPAA. Assuming a BAA means dumps are handled. Leaving a shared notebook as the only GPU access path. Letting a research fair-share queue schedule on the clinical partition. Those are shared-responsibility failures, not GPU SKU failures.

OneSource Cloud can operate exclusive private AI infrastructure and healthcare AI environments. Customers still own who is in OnePlus workspaces, OneSource Cloud’s AI orchestration platform, and what those workspaces may read. Managed operations cover host patching and capacity incidents. They do not replace the covered entity’s access review. Keep claims at HIPAA-ready.

FAQ

What is shared responsibility for healthcare AI cloud?

It is the written split between the GPU operator and the covered entity. The operator typically owns facilities, exclusive tenancy, and platform availability. The customer owns identities, data classes, application ACLs, and prompt hygiene. A BAA is adjacent and not a substitute for this split.

Does a BAA move security work to the vendor?

No. A BAA allocates certain HIPAA duties when PHI is in the service path. You still configure IAM, RAG filters, and what is stored in traces. Treat the BAA and the shared-responsibility matrix as two artifacts. See also whether the GPU provider needs a BAA at all.

Who handles a GPU crash dump that might contain PHI?

The operator should document collection, access, and deletion. The customer should demand that document and limit who may request dumps. If dumps go to a global support pool the contract forbids, both columns failed. Practice one dump drill before production PHI arrives.

Can we use shared GPUs if we configure IAM well?

IAM does not remove unknown tenants from a shared device. Isolation reviews still fail. Use exclusive partitions for identifiable work. Save shared capacity for data the review agrees is not PHI.

What should go in onboarding?

The matrix above, filled with names, plus workspace patterns, log retention, and an incident contact tree. If onboarding is only SSH keys and a GPU count, shared responsibility was skipped. Fix that before the first clinical model.

Summary

Shared responsibility splits operator tenancy from customer identity and data controls. A BAA does not fill the customer column. For exclusive environments where that matrix can exist, use OneSource Cloud healthcare AI infrastructure and still assign who owns IAM, RAG ACLs, and traces.