AI Governance for Healthcare and Life Sciences
The challenge
Healthcare and life sciences organizations handle some of the most sensitive personal data — patient records, diagnoses, treatment plans, genetic information. AI adoption requires governance that matches the sensitivity of the data.
- Patient data classified as special category under GDPR
- Medical documents contain dense PII that must not reach external providers unprotected
- Research workflows need AI assistance but compliance requires data protection
- Air-gapped or on-premise deployment may be required by institutional policy
How SAIG helps
- Local text extraction — extract text from medical PDFs, DOCX reports, and images locally using PaddleOCR before governance
- Special-category data handling — enhanced detection and policy for health-related personal data
- Air-gapped deployment — all PII detection runs locally using on-device NER and regex
- Sovereignty enforcement — ensure patient data only reaches providers in approved jurisdictions
- Signed audit trail — tamper-evident evidence of every AI interaction involving patient data
- Kill switch — immediately halt all AI operations if a data incident is detected
Deployment considerations
Healthcare institutions typically require on-premise or air-gapped deployment. SAIG runs entirely within your infrastructure — PII detection, policy evaluation, and audit recording all happen locally. No patient data leaves your network for governance purposes.
Example governance scenario
A researcher asks an AI assistant to summarize findings from a set of patient case files. The files contain patient names and diagnoses.
{
"action": "ANONYMIZE",
"risk": "HIGH",
"rule": "THIRD_PARTY_PII_TO_EXTERNAL_PROVIDER",
"intent": "research_analysis",
"provider": "azure-openai-eu",
"sovereignty_mode": "EU_ONLY",
"pii_detected": ["PERSON", "ADDRESS"],
"attachments_governed": 3,
"audit_hash": "sha256:...",
"signature": "ed25519:..."
}
Example governance receipt shape — not a real customer record.
Related resources
SAIG provides runtime controls, policy enforcement, audit evidence, and compliance-supporting workflows. It does not constitute legal advice, certification, or a guarantee of regulatory compliance.