QNSI

Healthcare providers | Modelled case study

Evaluate customer-managed key custody for a healthcare cloud workload

Does customer-managed custody materially reduce risk without making recovery or clinical availability fragile?

Accountable ownersCloud Security · Privacy Officer · Infrastructure
Scenario typeComposite model
Required outputDecision artifact

The modelled organisation

A recognisable problem reaches the operating agenda

This composite scenario follows the Cloud Security · Privacy Officer · Infrastructure functions. It is grounded in the cited problem context but does not identify a real customer.

Operating environment

A healthcare provider runs clinical, diagnostic, identity, cloud, and medical-device systems where patient care continues while security controls change.

What is at stake

A migration cannot interrupt treatment, weaken ePHI confidentiality, strand a clinical device, or leave breach responders unable to determine the affected trust boundary.

Situation

A bring-your-own-key label can hide provider control-plane access, wrapping-key dependencies, unsupported PQC operations, and untested disaster recovery.

Event that forces action

Migration of imaging, analytics, or patient-engagement data to a cloud service.

Concrete system boundary

Systems this case study puts in scope

The model is specific about the operational surfaces that must be discovered, changed, or independently checked.

01

cloud-hosted ePHI workload

02

customer and provider key stores

03

backup and recovery services

04

operator access boundary

Modelled case study walkthrough

How this organisation would use QNSI

The walkthrough connects the real-world problem to a bounded QNSI contribution and an independently reviewable result.

01

Recognise the operating condition

A bring-your-own-key label can hide provider control-plane access, wrapping-key dependencies, unsupported PQC operations, and untested disaster recovery.

02

Frame the decision the owners must make

Does customer-managed custody materially reduce risk without making recovery or clinical availability fragile?

03

Apply QNSI to the controlled boundary

Use QNSI connector evidence and guardrails to document custody operations, provider boundaries, key states, and qualification gaps.

04

Leave the team with a concrete result

A custody decision record comparing provider-native, customer-managed, and external-HSM paths for the workload.

05

Prove the result in the organisation's environment

The organization tests recovery, availability, revocation, support access, performance, and the exact validated cryptographic boundary.

What useful success looks like

A decision artifact plus proof from the real environment

The model stops at a target result. It becomes an actual case study only when a customer produces and independently validates this evidence in production.

Decision artifact

A custody decision record comparing provider-native, customer-managed, and external-HSM paths for the workload.

Independent validation boundary

The organization tests recovery, availability, revocation, support access, performance, and the exact validated cryptographic boundary.

Real-world problem grounding

Primary sources behind the model

These sources establish the external requirement, failure mode, or risk context used to model this case. They do not endorse HEOSSI or prove that QNSI completed the scenario.

Customer evidence status

This is modelled, not a customer claim

The organisation is a composite and the result is a target state. This page does not prove a deployment, customer outcome, certification, legal conclusion, regulator endorsement, or completed control.

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