HIPAA Compliance for AI

Build AI on Patient Data with HIPAA-Compliant Controls.

Protecto detects and masks PHI and ePHI before sensitive data reaches your LLM, helping teams build HIPAA-compliant AI workflows while preserving context and model accuracy. Every protected interaction can be supported with audit-ready controls.

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SOC II

Certified

ISO 27001

Certified

HIPAA · BAA

Available

Live PHI masking pipeline
HIPAA ready

Sensitive data goes in. Safe, usable data comes out.

Raw PHI

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.

Protecto

Classify PHI
Mask values
Preserve context
Protected tokens

Patient [NAME_8a3f], DOB [DOB_2c91], MRN [MRN_71b4], presented to [ORG_46d2] after recurrent chest pain following discharge from [CLINICIAN_9f20].

99%

PHI recall

96%

Precision

1/10x

Cost vs build

Trusted by regulated enterprises & agentic platforms
Inovalon
Automation Anywhere
Bank Of Muscat Logo

$2.19M

Maximum penalty/cap under certain HIPAA violation tiers in the 2025 inflation-adjusted schedule

99%

PHI and ePHI recall rate achieved by Protecto Vault across structured and unstructured clinical data

90%

Cost reduction achieved by a leading SaaS company processing 13M+ patient records daily with Protecto

67%

of surveyed healthcare organizations reported being unprepared for proposed HIPAA Security Rule changes

The Compliance Gap

Your AI Pipeline Processes PHI. Your Compliance Team Doesn't Know How.

In January 2025, HHS published a proposed update to the HIPAA Security Rule aimed at strengthening cybersecurity protections for ePHI. Among the proposed changes are stronger requirements around risk analysis, encryption, incident response, network controls, and written security policies. Until a final rule takes effect, organizations must continue complying with the current HIPAA Security Rule.

$4.75M

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.

PHI Leaking into Public LLMs

Employees may inadvertently expose PHI by sending patient information to AI services that are not approved for the organization's HIPAA workflow. An impermissible disclosure may trigger HIPAA breach-assessment and notification obligations depending on the circumstances.

Missing BAAs with AI Vendors

When an AI vendor creates, receives, maintains, or transmits PHI on behalf of a covered entity or business associate, the vendor may qualify as a Business Associate and generally requires an appropriate BAA before processing that PHI.

No Audit Trail for AI Decisions

HIPAA requires regulated entities to implement audit controls for systems containing or using ePHI. For AI pipelines, detailed records of user, application, data-access, policy, and timestamp activity can help support investigation and compliance workflows.

Generic Masking Breaks Model Accuracy

Traditional redaction can remove contextual information that AI applications rely on, reducing the usefulness or accuracy of downstream model responses.

How it works

HIPAA Compliance, Built Into Your AI Pipeline

Three steps designed to protect PHI across the AI data path, from ingestion and retrieval to prompts and LLM responses.

1

Detect PHI Automatically

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.

2

Mask with Context Preserved

Protecto's context-preserving tokenization replaces PHI with consistent protected tokens while retaining useful semantic context for the LLM. This helps teams reduce PHI exposure without unnecessarily degrading model usefulness.

3

Govern, Audit, and Report

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.

Platform Capabilities

Data Security Controls for HIPAA-Compliant AI

Protecto provides technical data-security controls that support HIPAA compliance for AI systems, including PHI detection, tokenization, contextual access control, deployment controls, and audit logging.

Sub-sec

Real-time token generation for live pipelines

Billions

Rows handled via bulk API for migrations

50M+

PHI records processed for a single healthcare customer

PHI and ePHI Detection

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.

Privacy Rule Coverage

Context-Preserving Masking

Replaces PHI with semantically meaningful tokens. "Jane Doe" becomes "<PER>" that your LLM understands as a person reference. Accuracy is preserved. PHI is gone. No over-masking.

Security Rule: Encryption

Context-Based Access Control

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.

Minimum Necessary Standard

Immutable Audit Logs

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.

Security Rule: Audit Controls

Business Associate Agreement Ready

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.

HIPAA BAA

Flexible Deployment

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.

Data Residency

Customer Story

50M Patient Records.
Zero PHI Exposed.
$30M in Annual Value.

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."

50M+

PHI records protected across structured and unstructured data

$30M

Estimated annual benefit from compliant AI adoption at scale

99%

PHI recall. No sensitive identifiers reached the LLM boundary.

Weeks

Time to production PoC, fully integrated with existing data pipelines

Built for Regulated Industries

HIPAA Compliance Across Healthcare, Finance, and Enterprise AI

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.

Healthcare

Healthcare and Life Sciences

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.

HIPAA
HITECH
45 CFR Part 164

Financial Services

Financial Services and Banking

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.

HIPAA BAA
GLBA
PDPL / SAMA

Enterprise AI

Enterprise SaaS and AI Companies

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.

Business Associates
HIPAA
GDPR

Why Protecto

HIPAA-Compliant AI. Done Right.

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

Certifications

Compliance Built In. Not Bolted On.

Protecto's security posture is validated by independent third-party auditors. Every certification maps directly to your vendor due diligence and security questionnaire.

SOC 2 Type II

Annual third-party audit of security, availability, confidentiality, and privacy controls. Covers all data processing related to PHI and ePHI.

ISO 27001

International standard for information security management. Validates that Protecto's security controls meet enterprise-grade requirements for protecting sensitive health data.

HIPAA Ready

BAA available for covered entities and Business Associates. Technical safeguards aligned with the 2025 HIPAA Security Rule update, including mandatory encryption and audit controls.

Data Residency

On-premises and VPC deployment for jurisdictions requiring PHI to remain within national borders. Supports US, EU, Middle East, and India data residency requirements.

Common Questions

HIPAA Compliance Common Questions, Answered

Yes. Protecto signs Business Associate Agreements with covered entities and their downstream partners. The BAA addresses permitted uses of PHI, security safeguards, subcontractor compliance, and breach notification obligations. Contact our team to start the BAA process, typically completed in under 5 business days.
No. Protecto does not use customer data, including any PHI or ePHI processed through the platform, to train or improve Protecto models. This commitment is explicit in the BAA and in Protecto’s data processing terms. Your patient data is processed and returned. It does not become training data.
 
The January 2025 HIPAA Security Rule update eliminated the distinction between “required” and “addressable” safeguards. Protecto covers the newly mandated controls: AES-256 encryption at rest, TLS 1.3 in transit, multi-factor authentication for PHI access, immutable audit logging, and role-and-context-based access control. Customers receive updated compliance documentation aligned with the 2025 rule.
 
Organizations using AI or LLMs with PHI need to evaluate the complete workflow, including whether vendors require Business Associate Agreements, how PHI/ePHI is protected, who can access it, how activity is logged, and which administrative, physical, and technical safeguards apply. Protecto provides data-layer controls such as PHI detection, tokenization, contextual access controls, deployment options, and audit logging to support these requirements.
Yes. Protecto supports cloud, VPC, and on-premises deployments. For organizations operating under data residency requirements (Middle East, India, EU), Protecto deploys within your infrastructure perimeter. PHI is processed without leaving your defined geographic boundary. Contact us for a deployment architecture review.
 
Standard redaction replaces PHI with blanks or fixed strings like “[REDACTED]”, which destroys the semantic context that LLMs need to perform accurately. Protecto’s context-preserving masking replaces “Jane Doe” with a semantically consistent token that tells the model it is processing a person reference, not a missing value. Clinical relationships, diagnosis contexts, and treatment narratives remain intact. Model accuracy is maintained. PHI is eliminated.
 
Most customers complete a proof-of-concept within 2 to 4 weeks. Protecto integrates natively with LangChain, Snowflake, Databricks, and Automation Anywhere. REST API access is available for custom pipelines. A dedicated solutions engineer supports the integration from day one.

See Protecto Mask PHI in Your Pipeline. Live.

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.

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  • SOC2 Certified
  • HIPAA Compliant
  • GDPR Ready
  • ISO 27001