The Challenge
Healthcare organizations face strict requirements for patient data protection:
- HIPAA requires protection of 18 PHI identifiers
- Research datasets must be fully de-identified
- Administrative documents contain patient information
- Inter-facility data sharing requires consistent protection
The Solution
Comprehensive PHI detection and anonymization aligned with HIPAA requirements.
Audit Trails
Complete logging of all anonymization operations for compliance reporting.
PHI Detection
Detect all 18 HIPAA-defined PHI types including medical record numbers, health plan IDs, and biometric identifiers.
Research Ready
Generate de-identified datasets for research that meet Safe Harbor requirements.
Healthcare Formats
Support for clinical notes, administrative records, and structured health data.
Frequently Asked Questions
Does cloak.business detect all 18 HIPAA PHI identifiers?
Yes. cloak.business detects all 18 HIPAA-defined Protected Health Information identifiers including names, geographic data, dates, phone numbers, fax numbers, email addresses, social security numbers, medical record numbers, health plan beneficiary numbers, account numbers, certificate/license numbers, vehicle identifiers, device identifiers, URLs, IP addresses, biometric identifiers, full-face photographs, and other unique identifying numbers.
How does cloak.business support HIPAA Safe Harbor de-identification?
cloak.business's Replace and Redact methods remove or substitute all 18 PHI identifiers, supporting the HIPAA Safe Harbor standard. All processing occurs on ISO 27001-certified servers in Germany with full audit trails for compliance documentation.
Can cloak.business anonymize clinical notes and unstructured medical text?
Yes. The NLP engine (spaCy + Stanza) detects names, locations, and contextual PHI in unstructured clinical notes, while 317 regex recognizers handle structured identifiers like medical record numbers, SSNs, and phone numbers.
Is This Right for You?
Best For
- Organizations with compliance obligations (GDPR, HIPAA, CCPA, PCI-DSS)
- Teams regularly sharing datasets containing names, IDs, or medical records
- Developers building AI pipelines that process user-submitted content
- Enterprises requiring audit logs and reproducible anonymization for legal holds
Not Ideal For
- Single-language English-only pipelines with no PII — regex-only tools may suffice
- Real-time streaming at sub-5ms latency — NLP inference adds overhead
- Fully air-gapped environments without internet access — use Desktop App instead
- Unstructured media files (audio, video) — text extraction is a prerequisite limitation