Protecto automatically detects and masks PHI and ePHI before it reaches your LLM. Context preserved. Model accuracy maintained. Audit trails ready for OCR review.
Patient Maria Chen, DOB 11/08/1976, MRN HX-482991, presented to St. Luke's Medical Center after recurrent chest pain following discharge from Dr. Ravi Patel's clinic.
Patient <PER>vTN 4h1</PER>, DOB <DOB>b1CjImA2/e57ftzYU/yTq6Lgn7</DOB>, MRN <MRN>514-563</MRN>, presented to <ORG>7Fs. U3x xcz QI2</ORG> after recurrent chest pain following discharge from Dr. <PER>JQ0 if7</PER>\'s clinic.
99%
PHI recall
96%
Precision
1/10x
vs in-house cost
Maximum HIPAA fine per violation in 2025, per the updated civil monetary penalty schedule
PHI and ePHI recall rate achieved by Protecto Vault across structured and unstructured clinical data
Cost reduction achieved by a leading SaaS company processing 13M+ patient records daily with Protecto
of healthcare organizations are unprepared for the 2025 HIPAA Security Rule enforcement updates
The January 2025 HIPAA Security Rule update, the first major revision in 20 years, eliminates the distinction between “required” and “addressable” safeguards. Every control is now mandatory. Most AI pipelines weren’t built for this.
Montefiore Medical Center (2024). Failed audit controls allowed insider data theft for 6 months. HIPAA enforcement is accelerating. Your AI audit trail needs to be airtight.
Employees unknowingly sending patient records to ChatGPT, Gemini, or other public models. A single incident triggers mandatory breach notification to HHS.
Every AI vendor that touches ePHI is a Business Associate. Without a signed BAA, your covered entity faces direct liability. Most AI vendors don't proactively offer them.
OCR investigations demand: who accessed what PHI, when, and why. LLM pipelines rarely log at this granularity. An audit exposes gaps that generic tools can't patch
Redacting PHI with traditional tools destroys the semantic context your AI depends on. The model stops performing. So teams skip masking entirely, creating compliance debt.
Three steps. Zero workflow disruption. Full regulatory coverage from data ingestion to LLM response.
Protecto Vault scans structured and unstructured data, clinical notes, lab results, patient records, and chat transcripts, and identifies all 18 HIPAA Safe Harbor identifiers plus contextual PHI that generic tools miss.
Proprietary context-preserving tokenization replaces PHI with semantically consistent tokens. Your LLM processes accurate, meaningful data. Model performance is maintained. Compliance is enforced.
Every PHI access is logged with full provenance: who, what, when, why. Immutable audit trails map directly to OCR investigation requirements. Security teams get dashboards. Compliance teams get reports.
Protecto covers the full HIPAA Security Rule surface area for AI systems, from PHI detection to access control to breach-ready audit logs.
Real-time token generation for live pipelines
Rows handled via bulk API for migrations
PHI records processed for a single healthcare customer
Identifies all 18 HIPAA Safe Harbor identifiers across structured databases, unstructured clinical notes, and real-time LLM prompts. Supports custom entity types for clinical terminology.
Replaces PHI with semantically meaningful tokens. "Jane Doe" becomes "" that your LLM understands as a person reference. Accuracy is preserved. PHI is gone. No over-masking.
CBAC enforces the HIPAA "minimum necessary" principle at the AI agent level. Access is governed by context: role, workflow step, data sensitivity, and real-time policy. Traditional RBAC breaks in agentic AI. CBAC does not.
Every PHI interaction is logged: which agent accessed it, under which policy, at what timestamp, and for what purpose. Logs are tamper-proof and retained for 6 years, meeting OCR investigation requirements.
Protecto signs BAAs with covered entities and their downstream partners. Legal review is fast. Subcontractor compliance is documented. Your vendor due diligence checklist is complete from day one.
Cloud, on-premises, or hybrid. For organizations with data residency requirements (Middle East, India, EU), Protecto deploys within your infrastructure boundary. PHI never leaves your perimeter.
A major health insurance provider needed a recommendation AI that could learn from 50 million patient records, structured and unstructured PHI, without violating HIPAA.
Generic masking tools failed: they degraded model accuracy, misidentified clinical context, and couldn’t scale. Protecto Vault replaced their existing approach in weeks, providing intelligent tokenization that preserved semantic meaning while eliminating PHI exposure at the LLM boundary.
"Protecto masked PHI across ingestion, prompts, and responses, without breaking our recommendation accuracy. We went from weeks of manual compliance review to automated, continuous governance."
PHI records protected across structured and unstructured data
Estimated annual benefit from compliant AI adoption at scale
PHI recall. No sensitive identifiers reached the LLM boundary.
Time to production PoC, fully integrated with existing data pipelines
HIPAA does not apply to healthcare alone. Banks, insurers, and enterprise AI companies processing protected health information have the same obligations, and the same risks.
From health insurance providers to clinical AI platforms, Protecto secures PHI across EHR integrations, RAG pipelines, and recommendation engines. Audit trails are pre-built for CMS and OCR review.
Health plan administrators, benefits processors, and FSI companies operating as HIPAA Business Associates face direct enforcement risk. Protecto covers HIPAA, GLBA, and data residency obligations for Middle Eastern and US financial institutions.
LLM vendors, AI agent platforms, and SaaS companies processing health data on behalf of covered entities are Business Associates under HIPAA. Protecto integrates with LangChain, Snowflake, Databricks, and Automation Anywhere to enforce compliance at the data layer.
Generic masking tools and cloud NLP services weren't designed for LLM pipelines. Protecto was built specifically for AI-era compliance requirements.
| Capability | Protecto Vault | AWS Comprehend Medical | Generic Masking / DSPM |
|---|---|---|---|
| Context-preserving PHI masking for LLMs | Yes Semantic tokens maintained | Partial De-identifies, no context retention | No Breaks model accuracy |
| 99% PHI recall on unstructured clinical text | Yes Independently benchmarked | Partial Lower recall on edge cases | No Not designed for clinical NLP |
| Business Associate Agreement (BAA) | Yes Available and ready | Yes AWS HIPAA eligible | Varies Often not offered |
| Context-Based Access Control for AI agents | Yes CBAC built-in | No | No |
| Immutable audit logs for OCR investigations | Yes Per-prompt logging | Partial CloudTrail integration | No |
| On-premises and data residency deployment | Yes Cloud, VPC, on-prem | No AWS cloud only | Varies |
| RAG and agentic AI pipeline support | Yes LangChain, Databricks, Snowflake | Partial Limited integrations | No |
Protecto's security posture is validated by independent third-party auditors. Every certification maps directly to your vendor due diligence and security questionnaire.
Annual third-party audit of security, availability, confidentiality, and privacy controls. Covers all data processing related to PHI and ePHI.
International standard for information security management. Validates that Protecto's security controls meet enterprise-grade requirements for protecting sensitive health data.
BAA available for covered entities and Business Associates. Technical safeguards aligned with the 2025 HIPAA Security Rule update, including mandatory encryption and audit controls.
On-premises and VPC deployment for jurisdictions requiring PHI to remain within national borders. Supports US, EU, Middle East, and India data residency requirements.
In 30 minutes, a Protecto solutions engineer will demonstrate PHI detection, context-preserving masking, and audit trail generation on your data type. No slides. No sales pitch.