Clinic
Owns compliance accountability and authorises the service.
The Airlock Model
Airlock is being built as a managed Compliance Evidence Layer™ across the systems, safeguards and controls clinics rely on — an operating layer designed to help clinics move from point-in-time compliance toward continuous compliance.
The idea is simple: scope the environment, capture current evidence, identify what needs attention, coordinate corrective action, verify the result and keep the evidence current as the clinic changes — instead of rebuilding proof from scratch each time a review appears.
The gap between controls and proof
Clinics rely on IT systems, security controls, policies, processes and physical safeguards every day. Those controls may be operating, but the evidence that proves what is in place, what changed and what action was taken is often spread across tools, inboxes, documents and people.
Airlock is designed to sit across that environment as the managed evidence layer — not to replace every underlying system or operate every safeguard itself.
Scope → Capture → Identify → Remediate → Verify → Evidence
Confirm the systems, safeguards, controls and workflows Airlock will include, together with access, responsibilities and relevant IT involvement.
Capture current operational evidence from the safeguards already operating across the clinic.
Identify risk, missing evidence and areas that require attention.
Coordinate agreed corrective action with the responsible person, IT provider or system.
Confirm what changed and whether the intended outcome was achieved.
Maintain an organised, current record of the finding, action and verified outcome so proof is ready when needed.
Clinic • IT • Airlock
Owns compliance accountability and authorises the service.
Continues managing systems, infrastructure, security controls, identity, access and support.
Manages the evidence lifecycle: discovery/capture, findings, remediation coordination, verification and evidence.
Start with a real, visible problem
Detect gives Airlock a practical problem through which to prove the model end to end: discover exposed data, assess it, remediate it, verify the outcome and maintain evidence.
Once that lifecycle works reliably for patient-data exposure, the same evidence model can be extended to additional safeguards where there is a clear operational and commercial case.