Healthcare Data Protection
On-premises PHI detection across all 18 Safe Harbor identifier types in under 50ms. No patient data touches the public internet.
Four specialist models replace manual chart review, regex-based detection, and cloud DLP services for protected health information. Each model runs entirely inside your perimeter. New identifier types or regulatory requirements adapt via LEAP in minutes. Full HIPAA, GDPR, and CCPA coverage from infrastructure you control.
4 specialist models
How It Works
One specialist model per compliance task,
all running entirely inside your perimeter
Every PHI Type, Every Clinical Document, Inside Your Perimeter
HIPAA Safe Harbor requires de-identification of all 18 PHI identifier types. Manual review costs $15 per chart. Regex catches roughly ten obvious patterns but misses MRNs, NPIs, and insurance IDs embedded in clinical narratives. Cloud data-loss-prevention services detect more but create a paradox: sending PHI to the cloud to find PHI. A specialist LFM detects all 18 types in under 50ms, entirely on-premises. One million clinical notes processed for dollars, not tens of thousands. The model adapts to new identifier formats via LEAP same-day.
Context-Aware Detection That Pattern Matching Cannot Achieve
Regex catches formatted identifiers but misses 'my social is one two three...' and obfuscated variations. Open-source detection libraries achieve variable accuracy depending on context. Cloud APIs add latency and data residency concerns. A specialist LFM provides semantic PII detection at under 50ms, catching spelled-out numbers, multi-language identifiers, and context-dependent patterns. Same input, different redaction per downstream task. Data never crosses your boundary. Adapt to new PII patterns via LEAP in minutes.
Use Any Cloud AI Model Without Exposing Patient Data
Healthcare organizations want the capabilities of frontier language models for clinical workflows, but sending PHI to cloud APIs violates compliance. Manual redaction is too slow. Pattern-based preprocessing misses 40% or more. The LLM Sanitization Gateway intercepts text, stores real identifiers in a secure vault, and sends sanitized text to any language model. On return, vault tokens restore seamlessly. Zero PHI exposure to any third party. The compliance team approves. The clinical team gets the AI tools they need.
Role-Based Data Masking With a Complete Audit Trail
Auditors need evidence: what was detected, what policy was applied, who accessed what view of the data. Most detection services provide audit trails only for data they process, with no dynamic role-based masking or per-regulation tagging. A specialist LFM-powered compliance layer shows different views per role (support sees partial identifiers, executives see full records) with a complete audit trail tagged by regulation. GDPR, HIPAA, CCPA: one model, differentiated enforcement. New regulations adapt via LEAP in minutes.
Try each model
All Demos
Healthcare DLP
HIPAA Safe Harbor de-identification — all 18 PHI identifiers detected and redacted
HIPAA Safe Harbor compliance in 50ms — all 18 PHI identifier types covered automatically
Redaction Gateway
Detect and redact PII with semantic understanding — regex vs cloud vs LFM comparison
Regex misses 40% of PII. Cloud LLMs take 500ms. LFM catches everything in under 50ms
LLM Sanitization Gateway
Vault-based PII redaction for LLM pipelines — your LLM never sees real data
Your LLM never sees real SSNs — vault-based redaction and restoration in under 50ms
Compliance & Access Control
Role-based dynamic data masking, streaming throughput, and GDPR/HIPAA/CCPA audit trails
Same data, different views — Support sees ***-**-6789, Executive sees the full SSN
Ready to deploy in your environment?