HIPAA-Compliant PII Anonymization
Healthcare PHI protection means removing patient details before they leave a clinic or research site. cloak.business gives providers the audit trails and precision HIPAA needs. Research keeps going. So do analytics and care teams. Nothing slows down.
The Challenge
Healthcare providers face strict rules. These rules protect patient data.
HIPAA law is clear. Protect 18 PHI identifiers
Research datasets need to be fully anonymized. This happens before use
Administrative documents contain patient information
Data shared between care sites needs the same protection
The Solution
We detect and anonymize PHI to meet HIPAA's rules.
Audit Trails
We log every action. This helps with compliance reporting.
PHI Detection
We detect all 18 PHI types defined by HIPAA. These include medical record numbers, health plan IDs, and biometric identifiers.
Research Ready
Generate anonymized datasets for research use. They also meet Safe Harbor rules.
Healthcare Formats
We support clinical notes and office records. We also support structured health data.
Frequently Asked Questions
Does cloak.business detect all 18 HIPAA PHI identifiers?
Yes. cloak.business detects all 18 PHI identifiers defined by HIPAA. These include names and location data too. They also include dates and phone numbers. Fax numbers count as well. So do email addresses. Social security numbers are included too. The list covers medical record numbers and health plan beneficiary numbers. It also includes account numbers and certificate or license numbers. Vehicle identifiers and device identifiers count too. Finally, it covers URLs, IP addresses, biometric identifiers, full-face photographs, and other unique identifying numbers.
How does cloak.business support HIPAA Safe Harbor rules?
cloak.business's Replace and Redact methods remove or replace all 18 PHI identifiers. This supports the HIPAA Safe Harbor standard. All processing happens on servers certified to ISO 27001, based in Germany. Full audit trails support compliance records.
Does cloak.business handle clinical notes and medical text?
Yes. Our NLP engine (spaCy + Stanza) detects names, locations, and other PHI in free text clinical notes. Meanwhile, 317 regex recognizers handle structured data 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