NHS and private health
Health systems where patient data is spread across clinical platforms, exports, and shared files, and audit evidence has to be available on demand.
Not every company needs air-gap deployment, governed document handoff, and browser-side AI controls. The teams below usually do.
Health systems where patient data is spread across clinical platforms, exports, and shared files, and audit evidence has to be available on demand.
PCI-DSS scope reduction, safer non-production data, and tighter controls around how sensitive records move into engineering and analytics workflows.
Client documents contain information that cannot reach external AI tools unchecked. Review and control need to happen before those files are shared or uploaded.
Review inbound datasets for personal data before publishing or downstream reuse, with tenant isolation between each customer's data.
Realistic test data that behaves like production, without handing developers live personal data or relying on brittle one-off masking scripts.
Training and evaluation datasets that are statistically faithful to production without normalising access to live personal data.