Zero-Trust Hipaa Sanitization
Watch the PrivacyScrubber engine transform sensitive Hipaa data instantly. No API calls, no cloud latency, 100% private.
COMPLIANT
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ALIGNED
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Deploy Zero-Trust AI Workflows
Equip your team with the world's first air-gapped protection layer. No cloud history, no LLM training leakage, just provably secure AI.
- 100% Client-Side Processing
- Airplane Mode Verified (Pure Offline)
- Enterprise-wide Chrome MDM Rollout
- Centralized Policy Control Center
- Advanced Pattern Detection Engine
How privacy-conscious Hipaa teams use the tool
Our Zero-Trust engine is uniquely positioned to solve the most critical compliance bottlenecks when adopting modern AI workflows.
Workflow Challenge 1
Pasting clinical notes into public LLMs without pre-scrubbing is a direct HIPAA violation, even with a 'Business Associate Agreement' (BAA) in place for some tools.
Workflow Challenge 2
Manual de-identification of medical records is slow and error-prone, failing to scale with the speed of clinical AI summarization.
Workflow Challenge 3
Use the 'Safe Harbor' automated engine to instantly neutralize all 18 HIPAA identifiers on your local machine.
Hipaa PRO Engine
Advanced Semantic Data Masking
Protected Parameters (Masked Locally)
Key Problems Solved
- Executes 100% locally in your browser leveraging WebAssembly.
- Bypasses cloud APIs to guarantee zero data extraction.
- Maintains structural integrity of your payloads and documents.
- Satisfies stringent vendor risk management requirements.
Compare Edition Features
From individual use to corporate rollout, choose the level of control your organization requires.
| Core Capabilities |
Free
Web Only
|
PRO
$49 Lifetime
|
TEAMS
$49/mo
|
|---|---|---|---|
| 100% Local Processing (Airplane Mode) | |||
| Text Paste & Single File Docs | |||
| Batch Processing & Background OCR | — | ||
| Custom Regex & Specific Redaction Rules | — | ||
| Chrome Extension Native App | — | — | |
| Silent Corporate Deployment (MDM) | — | — | |
| Policy Control Center & Enforcement | — | — | |
| Try Free | Details | Deploy TEAMS |
Hipaa Compliance & Implementation Guides
Explore technical workflows for sanitizing PII before handing off data to ChatGPT, Claude, and internal LLMs within the Hipaa sector.
HIPAA AI Guard
Securely protect patient names, DOBs, and diagnoses from clinical notes 100% locally before AI analysis. Fully offline HIPAA-compliant workflow.
Medical Research AI
Anonymize patient research data locally before AI analysis. No cloud uploads. No HIPAA violations.
Telemedicine AI Privacy
Virtual care platforms using AI must protect patient PII. HIPAA-compliant local protection guide.
EHR AI Safety
Using AI with EHR data requires de-identification. Protect patient data locally before any AI tool.
Mental Health AI Privacy
Therapy session notes are the most sensitive health data. Never send them to AI without protection.
FDA AI/ML Software and PHI
FDA-regulated AI/ML software as a medical device (SaMD) must handle PHI under HIPAA and FDA guidance. Here is the compliance checklist.
Safely Protect MRNs (Medical Record Numbers) for AI Analysis
Standard tools catch SSNs, but hospitals use highly specific Medical Record Number formats that leak patient identities into LLMs.
Protect Medical Records for AI Safely
A HIPAA compliant PII protector to protect medical records locally before AI processing.
HIPAA Technical Implementation Mapping
Deep architectural mapping of Zero-Trust Data Sanitization (ZTDS) controls to industry-wide regulatory standards.
Zero-Trust Verification Signature
The above technical controls are enforced deterministically by the PrivacyScrubber Local Engine. All redaction cycles generate zero server-side telemetry, satisfying global data residency requirements for Hipaa institutions.
Hardened Audit Standards
Satisfying strict global security and privacy frameworks.
No data persistence on untrusted infrastructure.
Privacy by design at the engineering layer.
Data masking as a core organisational control.
Federal PII minimisation and transparency controls.
Satisfies Safe Harbor de-identification requirements.
"For healthcare organizations, the hurdle to AI adoption isn't the technology—it's the risk of a PHI breach. PrivacyScrubber implements the HIPAA 'Safe Harbor' de-identification method (45 CFR § 164.514(b)(2)) entirely within the browser's local memory. By redacting all 18 specific identifiers—including names, geographic data, and dates—before they ever leave the clinical workstation, PrivacyScrubber transforms sensitive medical records into research-ready anonymous inputs. This Zero-Trust architecture ensures that even if you lack a BAA with an AI provider, the data you transmit is not PHI, neutralizing the risk of a regulatory violation."
Strategy Insight for HIPAA-Compliant Leadership
Scaling AI adoption within HIPAA-Compliant environments requires a fundamental shift in data governance. Our enterprise AI solutions ensure that while teams leverage high-velocity LLMs, the underlying hipaa data remains fully sovereign. This solution integrates directly with your HIPAA-Compliant industry guides to provide a seamless privacy layer.
The core challenge for HIPAA-Compliant leaders is balancing utility with liability. Standard Cloud DLP filters often strip too much context or require trust in third-party servers. PrivacyScrubber's zero-trust model for GDPR compliance preserves the semantic structure of your prompts locally, ensuring that AI reasoning remains accurate while personally identifiable information (PII) is deterministically masked.
HIPAA-Compliant Critical Compliance Vulnerabilities
Pasting clinical notes into public LLMs without pre-scrubbing is a direct HIPAA violation, even with a 'Business Associate Agreement' (BAA) in place for some tools.
Manual de-identification of medical records is slow and error-prone, failing to scale with the speed of clinical AI summarization.
Use the 'Safe Harbor' automated engine to instantly neutralize all 18 HIPAA identifiers on your local machine.
Hipaa Vector Analysis & Risk Scenarios
Identifying the primary data exfiltration paths for Hipaa workflows using generative AI models.
Hipaa Input Neutralization
"The HIPAA Vector focuses on the elimination of the 'Safe Harbor 18'—the specific identifiers that transform raw data into Protected Health Information (PHI). Our engine is tuned for the high-precision detection of Medical Record Numbers (MRNs), health plan IDs, and clinical dates, ensuring that patient identity remains strictly local."
Instantly mask Hipaa identifiers in text, PDF, and DOCX files locally before transmission to any AI provider.
Hardware-level verification ensures no data packets leave your browser RAM session during the redaction process.
HIPAA Technical Implementation Mapping
Deep architectural mapping of Zero-Trust Data Sanitization (ZTDS) controls to industry-wide regulatory standards.
Zero-Trust Verification Signature
The above technical controls are enforced deterministically by the PrivacyScrubber Local Engine. All redaction cycles generate zero server-side telemetry, satisfying global data residency requirements for Hipaa institutions.
Audit Roadmap: Legacy Cloud-DLP vs. ZTDS
| Strategic Metric | Legacy Cloud-DLP | ZTDS (PrivacyScrubber) |
|---|---|---|
| Data Perimeter | Transmitted to Cloud API | 100% Local (Client-Side) |
| Processing Latency | 500ms - 2500ms (Network) | < 15ms (Native JS) |
| Security Posture | Trust-Based (SLA/BAA) | Math-Based (Zero-Server) |
| Compliance Status | Subject to Cloud Audit | Audit-Exempt (Local-Only) |
The Airplane Mode Standard
Disconnect your network, enable Airplane Mode, and watch PrivacyScrubber maintain 100% operational integrity. This is not just a feature—it is a mathematically verifiable proof that your HIPAA-Compliant records never leave your control.
Solving HIPAA-Compliant Challenges with PrivacyScrubber TEAMS
Scale Zero-Trust Data Sanitization across your entire organization with centralized enforcement and native browser integration.
CISO / Compliance
In the HIPAA-Compliant sector, enforcing Zero-Trust is paramount. With the PrivacyScrubber Chrome Extension, administrators seamlessly deploy data masking via MDM to all endpoints. Preventing local model leakage ensures that when employees use GenAI, sensitive hipaa records are never exfiltrated to external LLM servers, instantly satisfying compliance and governance audits.
Operations Lead
HIPAA-Compliant teams require agile collaboration without compromising privacy. The TEAMS subscription features encrypted Session Sharing, allowing managers to securely distribute custom Regex dictionaries across the department. This enforces uniform data redaction standards across all GenAI workflows, eliminating human error while maintaining high velocity in team-based AI adoption.
Edge Analyst
Daily hipaa operations rely on continuous efficiency. The native extension automates PII scrubbing directly at the browser input field, ensuring analysts never waste time manually censoring data. This seamless integration provides zero friction and zero server latency, empowering end-users to confidently leverage ChatGPT and Claude for immediate HIPAA-Compliant insights.