Use cases

The teams where getting this wrong has real consequences.

Not every company needs air-gap deployment, governed document handoff, and browser-side AI controls. The teams below usually do.

Healthcare

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.

Air-gap deployment
NHS DSPT and HIPAA
No cloud egress
Financial services

Banks and investment firms

PCI-DSS scope reduction, safer non-production data, and tighter controls around how sensitive records move into engineering and analytics workflows.

PCI-DSS scope reduction
LDAP and SAML auth
Synthetic data for ML
Legal

Law firms and accountancies

Client documents contain information that cannot reach external AI tools unchecked. Review and control need to happen before those files are shared or uploaded.

Document airlock
VestraShield
Client privilege audit trail
Data platforms

Data marketplaces

Review inbound datasets for personal data before publishing or downstream reuse, with tenant isolation between each customer's data.

SDK integration
Multi-tenant isolation
Event-driven scanning
Engineering

Dev and test teams

Realistic test data that behaves like production, without handing developers live personal data or relying on brittle one-off masking scripts.

FK-preserving subsets
Direct staging DB import
Scheduled refresh
ML engineering

Model and data science teams

Training and evaluation datasets that are statistically faithful to production without normalising access to live personal data.

Differential privacy
S3 and Parquet export
Distribution preserved