De-identify Any Healthcare Data. In Under 50 Milliseconds.
Zabrizon's PII Redaction API detects and redacts 20+ protected health information and personally identifiable data types across text, clinical documents, and structured data — with full audit trail, HIPAA compliance documentation, and sub-50ms response times at enterprise scale.
What the PII Redaction API Does
Enterprise-grade PHI detection and redaction — available as a REST API or self-hosted deployment.
20+ Entity Type Detection
Available NowComprehensive PHI and PII coverage across all HIPAA identifiers
Detects all 18 HIPAA Safe Harbor identifiers plus additional PII types — names, SSNs, dates, phone numbers, addresses, medical record numbers, device identifiers, URLs, and more — across structured and unstructured healthcare data.
- All 18 HIPAA Safe Harbor identifiers
- Financial data: credit cards, bank accounts
- Clinical identifiers: MRNs, DEA numbers, NPI
- Custom entity types configurable via API
Sub-50ms API Performance
Available NowReal-time de-identification for synchronous workflows
Synchronous REST API with p99 response time under 50ms — suitable for real-time data pipelines, API gateways, and user-facing applications that can't tolerate batch processing latency.
- p99 <50ms latency under full production load
- Horizontal autoscaling to millions of requests per day
- REST API + gRPC for high-throughput integrations
- Async batch mode for large document processing
Full Audit Trail & Compliance Docs
Available NowHIPAA and GDPR compliance documentation included
Every redaction operation is logged with entity type, location, confidence score, and timestamp — providing the audit trail required for HIPAA compliance programmes and regulatory audits.
- Immutable redaction audit log per document
- Entity detection confidence scores for review
- HIPAA compliance documentation package included
- GDPR Article 25 data minimisation support
Why Healthcare Organisations Choose Our PII Redaction API
Purpose-built for healthcare data — not a general NLP tool with a healthcare label.
Healthcare-Trained NLP Models
Models trained on clinical corpora — EMRs, discharge summaries, lab reports — achieving 99.2% recall on HIPAA identifiers in real-world healthcare text.
FHIR Resource Support
Redacts PHI within FHIR R4 JSON resources natively — including patient, practitioner, and encounter resources — without breaking FHIR structure.
Multiple Redaction Modes
Choose from full redaction, pseudonymisation with consistent token replacement, or synthetic data substitution — configurable per entity type and use case.
Deployment Flexibility
Available as a managed cloud API or self-hosted Docker/Kubernetes deployment for organisations with data residency requirements or air-gapped environments.
Integrates With Your Data Stack
Pre-built connectors and SDKs for every major healthcare data environment.
SDKs
- Python SDK
- Node.js SDK
- Java SDK
- .NET SDK
Data Platforms
- Databricks
- Snowflake
- BigQuery
- Azure Synapse
EHR / FHIR
- Epic FHIR
- Cerner FHIR
- Azure Health Data
- AWS HealthLake
Pipeline Tools
- Apache Kafka
- Apache Airflow
- AWS Lambda
- Azure Functions
Ready to De-identify Healthcare Data at Scale?
Start your free trial — 10,000 API calls included, no credit card required.