Most PHI spans unstructured clinical notes and structured datasets. Protecto masks PHI across every data lake format—without compromising downstream analytics or AI model performance.
De-identify PHI without losing context—mask clinical notes, datasets, and analytics pipelines while keeping HIPAA compliance and data utility intact.
Identifies and masks all 18 PHI types required by HIPAA Safe Harbor across structured and unstructured healthcare data.
Retains data type integrity for phone numbers, dates, and IDs—enabling reliable downstream analytics without noise.
AI-driven models preserve clinical meaning while masking sensitive information, delivering highest accuracy for healthcare analytics.
Leading Healthcare Company
patient records secured with zero PHI leaks
vs 6-9 months development time
annual revenue enabled through compliant analytics
Most de-identification tools only handle structured databases. But PHI spreads across your entire healthcare data lake. Protecto de-identifies every location where PHI can leak:
Identify, mask, and control PHI across every healthcare data format in real time
AI models identify hundreds of PHI types including HIPAA Safe Harbor's 18 identifiers across clinical notes and structured data.
Preserves clinical context and relationships while masking PHI, delivering highest Response Accuracy Retention Index (RARI).
Maintains data relationships by consistently masking the same PHI entities across all healthcare data sources and formats.
Reversible pseudonymization for research or irreversible anonymization for maximum protection based on use case requirements.
Asynchronous processing with built-in queuing handles massive clinical datasets efficiently with Kafka/Spark integrations.
Secure tenant separation for different hospitals, research projects, or patient populations with dedicated audit trails.
See why leading healthcare organizations choose Protecto over alternatives
Feature | Protecto | Others |
Risk Coverage | Full Context Protects sensitive data in prompts, context, APIs, and outputs | Prompts Only |
Context-Aware Detection | Advanced AI models to find Sensitive Data | Limited to simple text patterns |
Accuracy-Preserving Masking | Context intact for LLMs | Breaks AI reasoning |
Policy based unmasking | ||
Asynchronous Masking | ||
Flexible Deployment | ||
Auto Scaling | ||
High availability | ||
Multi-tenancy support |
deployment vs 6-9 months estimated
PHI leaks across 50M records
annual revenue from AI project enabled
Don't let PHI violations derail your healthcare analytics. Join leading healthcare organizations who trust Protecto to de-identify sensitive data while preserving clinical utility.
This datasheet outlines features that safeguard your data and enable accurate, secure Gen AI applications.