Mask Patient Identifiers (PHI) in Local Memory Before AI Ingestion
AI Summary / Key Takeaways
"Operationalize the ZTDS™ (Zero-Trust Data Sanitization) open standard across clinical AI workflows. PrivacyScrubber enforces the HIPAA Safe Harbor method (45 CFR § 164.514) in browser RAM, redacting all 18 PHI identifiers locally before notes reach external AI models."
How to de-identify patient PHI before sending prompts to ChatGPT or Claude under HIPAA?
De-identify medical records by tokenizing all 18 HIPAA Safe Harbor identifiers (names, MRNs, dates, phone numbers) in browser RAM before prompt submission. PrivacyScrubber executes 100% locally via WebAssembly with zero server egress, allowing clinicians to restore original patient data locally upon receiving AI diagnostic or summary responses.
Interactive PII Detection & Sanitization Sandbox
Test real-time client-side RAM tokenization. Choose a specialized preset or paste your own raw prompt to test instant reversible redaction.
Sanitized locally in volatile RAM. Pre-prompt compliance maintained under Healthcare standards (GDPR, HIPAA, SOC 2).
Enterprise-Grade AI Privacy
Add custom redaction rules and priority support with PRO.
HIPAA compliance in the age of ChatGPT demands absolute certainty. While Business Associate Agreements (BAAs) are heavily marketed, they don't prevent your sensitive clinical data from being logged on external servers. PrivacyScrubber enforces the HIPAA 'Safe Harbor' method (45 CFR § 164.514) entirely within the browser's local RAM. By deterministically detecting and redacting all 18 PHI identifiers—including Medical Record Numbers (MRNs), Patient IDs, and DOBs—locally, doctors can safely summarize clinical notes without ever transmitting patient data. Zero data sent means zero risk of a HIPAA breach.
Scaling AI adoption within Medical environments requires a fundamental shift in data governance. Our enterprise AI solutions ensure that while teams use high-velocity LLMs, the underlying Medical data remains fully sovereign. This solution integrates directly with your Medical industry guides to provide an automated privacy layer.
The core challenge for Medical 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 HIPAA-compliant ChatGPT workflows preserves the semantic structure of your prompts locally, ensuring that AI reasoning remains accurate while personally identifiable information (PII) is deterministically masked.
Medical Critical Compliance Vulnerabilities
Pasting clinical notes into public LLMs without deterministic pre-scrubbing instantly triggers a HIPAA/HITECH violation.
Cloud-based PHI scrubbers inherently violate Zero-Trust by reading patient records before redacting them, creating a major trust gap.
Manual de-identification of patient history is dangerously slow and prone to fatigue errors that expose sensitive MRNs and DOBs.
PrivacyScrubber's 100% local engine is designed to ensure that raw PHI never leaves the clinician's workstation, helping support safe AI triaging within healthcare compliance frameworks.
Medical Vector Analysis & Risk Scenarios
Identifying the primary data exfiltration paths for Medical workflows using generative AI models.
Medical Input Neutralization
"Healthcare AI safety requires sanitizing patient intake forms, diagnostic reports, and pharmaceutical research before they touch public LLMs like Claude or GPT-4o. Our engine enforces deterministic de-identification at the ingestion point, neutralizing PHI risk for medical triaging without relying on cloud-based API scrubbers."
Instantly mask Medical 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.
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 | Technical Safe Harbor (0 Subprocessors) |
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 verifiable proof that your Medical records never leave your control.
Solving Medical Challenges with Enterprise Governance
Scale Zero-Trust Data Sanitization across your entire organization with centralized enforcement and native browser integration.
CISO / Compliance
In the Medical sector, enforcing Zero-Trust is mandatory. With the PrivacyScrubber Chrome Extension, administrators deploy data masking via MDM to all endpoints. Preventing local model leakage ensures that when employees use GenAI, sensitive Medical records are never exfiltrated to external LLM servers, instantly satisfying compliance and governance audits.
Operations Lead
Medical organizations require agile collaboration without compromising privacy. The Enterprise Governance model features encrypted Session Sharing, allowing CISOs and 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 Medical 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 automated integration provides zero server latency, enabling end-users to confidently use ChatGPT and Claude for immediate Medical insights.
HIPAA-Grade PHI Processing: Feature Stack
Two features cover the full clinical workflow: scanned form de-identification and industry-specific entity detection.
Medical PHI & Healthcare Profile: Detection Coverage
HIPAA Safe Harbor aligned ruleset targeting all 18 protected health identifiers including all top 20 corporate PII data types (PHI). Allows doctors and researchers to use AI without BAA liability.
Top 6 Healthcare Sensitive Entity Types Detected & Scrubbed
Patient Full Name
Medical Record Number
Patient Date of Birth
ICD-10 & Clinical Diagnoses
Health Plan Policy ID
National Provider Identifier
Continuous Detection Engine Expansion & Custom Regex Sovereignty
The 6 entity types above represent the core detection baseline for Healthcare. Our zero-trust engine detects hundreds of additional data classes and is continuously updated with new heuristic patterns, shadow AI leak vectors, and custom regulatory rulesets. Need proprietary database IDs or internal project codenames masked? PRO and TEAMS users can define unlimited custom regular expressions running 100% locally in browser RAM.
How the PrivacyScrubber Engine Solves This
Interactive Tool Controls for Healthcare. Hover for specs.
In-DOM HIPAA Safe Harbor Shield
The Browser Extension strips all 18 PHI identifiers (names, DOBs, MRNs) in volatile RAM before prompt transmission.
- Engine WASM-Accelerated
- Privacy 100% Local RAM
- Security Zero-Server Leak
Local EHR Chart & Intake Parser
Drop patient intake PDFs and clinical lab notes into the Wasm Document Sanitizer without a vendor BAA.
- Engine WASM-Accelerated
- Privacy 100% Local RAM
- Security Zero-Server Leak
1-Click Clinical Note Reveal
Restore patient identifiers locally on your device once the AI generates the diagnosis or discharge summary.
- Engine WASM-Accelerated
- Privacy 100% Local RAM
- Security Zero-Server Leak
Medical Technical Compliance Library
Deep architectural mapping of Zero-Trust Data Sanitization (ZTDS) controls to industry-specific 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 Medical institutions.
Hardened Audit Standards
Satisfying strict global frameworks governing Protected Health Information.
Satisfies Safe Harbor de-identification standards.
Zero-trust processing of special category health data.
Data masking as a core organisational control.
No data persistence on untrusted infrastructure.
Federal PII minimisation and transparency controls.
Healthcare Compliance Library
Step-by-step redaction workflows for Healthcare environments.
HIPAA Fax Document AI
Healthcare fax documents contain unstructured PHI: patient names, DOBs, diagnoses, and NPI numbers. Sanitize faxed medical records locally before AI analysis — 100% HIPAA Safe Harbor compliant.
Anonymize Radiology Reports for AI
Anonymize MRI, CT, and DICOM radiology reports locally in browser RAM. Strip all 18 HIPAA Safe Harbor PHI identifiers before sending clinical text to ChatGPT or Claude.
Medical Billing PHI Redaction
Redact PHI from medical billing records, EDI 837/835 claims, CMS-1500 forms, and revenue cycle appeals in browser RAM. Achieve HIPAA Safe Harbor without cloud uploads.
Protect Patient Intake Forms Before LLM Analysis
Sanitize patient intake questionnaires, medical histories, and triage forms in browser RAM before using ChatGPT or Claude. 100% offline HIPAA Safe Harbor compliance.
Pharmacy Prescription Data Privacy for AI Workflows
Ensure pharmacy prescription data privacy in local browser RAM. Mask Rx numbers, DEA/NPI IDs, and patient PHI while preserving NDC codes and drug dosages for AI.
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. Prevent HIPAA violations using our 100% local browser engine to ensure zero clinical PHI exposure.
Telemedicine AI Privacy
Ensure telemedicine AI privacy with HIPAA-compliant local patient data protection. Our browser engine de-identifies PHI locally to prevent cloud exposure.
EHR AI Safety
De-identify Electronic Health Record (EHR) data before using AI tools. Our 100% local browser engine sanitizes clinical PHI offline to support compliance.
Mental Health AI Privacy
Protect sensitive therapy session notes before using AI tools. Our 100% local browser engine de-identifies patient PHI fully offline to maintain HIPAA safety.
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
HIPAA-compliant client-side PII and PHI scrubber for medical records and AI prompts. Strip all 18 Safe Harbor identifiers locally in device memory.
How to De-identify Clinical Notes for AI
Safely summarize EHR clinical notes and SOAP charts in ChatGPT. Mask all 18 HIPAA identifiers locally in browser memory under 45 CFR § 164.514(b).
Prevent Patient Portal Messages & Clinical PHI Cloud Leakage
Prevent Epic MyChart and patient portal messages from leaking to external clouds. 100% in-RAM HIPAA Safe Harbor de-identification for clinical triage.
EHR & EMR AI Privacy
Zero-trust local redaction for electronic health records — Epic/Cerner EHR exports, HL7 FHIR R4 bundles, SNOMED CT, ICD-10 codes, 18 HIPAA Safe Harbor identifiers, MRNs, and NPI numbers — before AI-assisted clinical workflows.
FDA AI Software Regulations and Patient PHI
Understand FDA software validation and HIPAA Safe Harbor de-identification rules when integrating generative AI into health software.
Compare Edition Features
From individual use to corporate rollout, choose the level of control your organization requires.
| Core Capabilities |
Free
Web Only
|
PRO
$15/mo or $110 Lifetime
|
TEAMS
$99/mo
|
ENTERPRISE
Custom Tier
|
|---|---|---|---|---|
| 100% Local Processing (Airplane Mode) | ||||
| Text Paste & Single File Docs | 15k General / 5k Verticals | UNLIMITED | UNLIMITED | UNLIMITED |
| Batch Processing & Background OCR | — | |||
| Custom Regex & Specific Redaction Rules | — | |||
| Chrome Extension Native App | — | |||
| Silent Corporate Deployment (MDM) | — | — | ||
| Policy Control Center & Enforcement | — | — | ||
| IDE MCP Server & Headless Node.js SDK | MCP Free | MCP Unlimited | MCP + Team Sync | SDK ($299/mo) & Air-Gap |
| On-Premise Source Code License | — | — | — | |
| 100% Air-Gapped Operation | — | — | — | |
| Dedicated GRC Support | — | — | — | |
| Try Free | Details | Deploy TEAMS | Enterprise Hub |
Complementary AI Privacy Hubs & Frameworks
Cross-framework zero-trust sanitization workflows and enterprise compliance architectures.
Frequently Asked Questions
Common questions about deploying zero-trust AI for Healthcare Teams.
Does this meet HIPAA Safe Harbor requirements?
Does this store any data on your servers?
How does the 'Airplane Mode' verification work?
Can I use this with custom internal identifiers?
Zero-Trust Sanitization Verified
Technical safeguards supporting GDPR Art. 32, HIPAA & CCPA. All PII processing occurs locally in browser RAM.
