Healthtech
Case studies
Real-worldData Protection
See how teams integrate Securelytix into production systems, protecting sensitive data without slowing delivery.
99.99%
PII never reached inference
12M
records tokenized
3 days
to production
“Securelytix let us ship AI-assisted diagnostics without raw PHI ever touching a model. Integration took days, not quarters.”
D
Dr. Elena Vasquez
VP Engineering, Northwind Health
Company Overview
Northwind Health operates a network of clinics serving 4M patients across the US, running AI-assisted diagnostic tooling on clinical intake data.
Challenge
New ML features required feeding patient intake text into hosted models, but compliance forbade raw PHI from leaving the internal trust boundary.
Solution
Northwind deployed the Securelytix SDK at the data ingestion layer, tokenizing PHI fields before any downstream service, including AI inference, could observe them.
Implementation
- Wrapped intake API with the Node SDK tokenization middleware
- Configured custom detectors for medical record numbers
- Scoped detokenization policies to the clinical review service
Results
- Zero raw PHI in model prompts or logs over 6 months
- Passed HIPAA audit with no findings on the AI pipeline
- Maintained sub-50ms added latency on intake endpoints
Architecture
Ingestion gateway→Securelytix Vaultkey→Detection→Tokenization→AI inference (tokens only)→Detokenization at clinical review.
Key Takeaways
- Tokenization at the edge keeps compliance boundaries intact
- Custom detectors are essential for domain-specific identifiers
- Policy scoping prevents broad detokenization access