These are the specific frameworks and obligations relevant to your sector, not a generic GDPR checklist. Each one has a direct implication for how you govern AI use and data handling.
Data Security and Protection Toolkit obligations for NHS organisations handling patient data.
Safe harbour and expert determination standards for de-identification of protected health information.
Information Commissioner expectations for lawful basis and data minimisation when deploying AI in healthcare.
Health data requires explicit lawful basis and a higher standard of technical protection.
These are the specific workflows most organisations in your sector deploy first, in plain terms.
Scan patient record systems, clinical databases, and research repositories. Field-level PII findings with confidence scores and row counts. No schema knowledge required. Air-gapped: scans run entirely within your NHS network.
VestraData and VestraShield run entirely inside your NHS network. No internet dependency at runtime. ML models bundled in the install package. NHS DSPT compliant from the ground up. Zero data egress.
Generate synthetic datasets that preserve statistical distribution for research use, without exposing real patient identifiers. Differential privacy mode for UK GDPR compliant outputs.
Clinical staff using AI for documentation or decision support get VestraShield applied invisibly. Patient identifiers are replaced with consistent surrogates before any prompt leaves the clinical network.
Both products share the same detection engine. Most organisations in your sector start with one before adding the other.
PII discovery and anonymisation for clinical databases. Designed for air-gap deployment inside NHS network segments. NHS DSPT and HIPAA compliant.
AI governance layer for clinical staff. Patient identifiers intercepted and transformed before any prompt reaches an external LLM endpoint.
Entire ML stack runs offline inside your NHS network. No phone-home. No data egress to vendor infrastructure. Required for NHS networks with strict data residency.
Deployment architecture designed to satisfy DSPT requirements. Audit log provides evidence for annual DSPT submissions.
GDPR and HIPAA compliant synthetic data generation. Statistical distribution preserved. Real patient identifiers never appear in research outputs.
NHS number, patient identifier, ward reference, and custom clinical codes handled by zero-shot GLiNER. No model retraining required.
Helm chart deployment for larger NHS environments. Docker Compose for ward or trust-level deployments. LDAP and SAML for NHS identity integration.
Hash-chained audit record for every data processing activity. Exported directly into DSPT evidence submissions.
Covers AI tools used for clinical documentation, decision support, and administrative tasks. Typed prompts and file uploads intercepted before they leave your network.
NHS number, patient name, date of birth, and ward identifiers replaced with consistent surrogates before any prompt reaches an external LLM. Restored in the response.
VestraShield intercepts within your NHS network segment. No prompt content or patient data egresses to vendor infrastructure during interception.
Different rules for clinical staff, administrative staff, and IT teams. Per-ward and per-role policy configuration. No coding required.
Real-time visibility into which clinical AI tools are in use, what types of identifiers are being intercepted, and session-level audit for every interaction.
Every AI interaction by clinical staff logged with entity inventory. Attributable to session and user group. Hash-chained and tamper-evident.
We connect to something real in your environment and you see actual findings. No slide decks. No fabricated data. Median time to first scan: under 4 hours from credentials.
For IG leads and NHS IT teams. Air-gap deployment and DSPT compliance questions welcome.