Global Data Privacy Compliance Frameworks
Compliance

Washington My Health My Data Act: Consumer Health Privacy in AI

Comply with Washington My Health My Data Act (MHMDA) when using AI. Protect non-HIPAA consumer health, wellness, and biometric data from cloud LLM leakage with zero-trust redaction. Includes Flat-rate TEAMS pricing and Zero-server architecture.

100% Local Processing ✈ Airplane Mode Verified⊘ No Server Logs

AI Summary / Key Takeaways

Verified Zero-Trust Logic

"PrivacyScrubber provides the essential de-identification layer for Compliance professionals using generative AI. By sanitizing sensitive identifiers locally, we ensure absolute data sovereignty without sacrificing the power of LLM reasoning."

Paste real Compliance data into ChatGPT — only scrubbed tokens reach the model. Names, IDs, and emails stay on your machine.
Works offline: disconnect the network mid-session and it keeps running. Zero cloud dependency.
Your AI gets full context. Your clients' real identities never leave your browser tab.

Enterprise-Grade AI Privacy

Add custom redaction rules and priority support with PRO.

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Live Simulation

Zero-Trust Data Sanitization

Watch PrivacyScrubber's local engine transform sensitive Compliance data instantly in your browser, without any API calls.

Automated Detection Classes:
CUSTOMER_PIIAUDIT_LOG_IDEMPLOYEE_NAMEREGULATION_REFDPO_NAME
100% Client-Side Execution
Wasm_Engine
AUDIT REPORT > DPO: Sandra Keller | Ref: DPO-2026-0033 Incident: mark.evans@corp.com shared PII outside approved channels. Regulation: GDPR Art. 33
AUDIT REPORT > DPO: [NAME_1] | Ref: [ID_1] Incident: [EMAIL_1] shared PII outside approved channels. Regulation: GDPR Art. 33
Click any token above to test False Positive reveal

AI Risk Calculator

50
Risk● Critical
Leaks/yr
9,000
Max Fine
€20M

Get Your Risk Estimate

Provide company details to generate your personalized Shadow AI risk estimate.

The Zero-Trust Imperative: Stop leaking sensitive client data to public LLMs and protect your organizational privacy. PrivacyScrubber ensures you can leverage GenAI safely by neutralizing risks 100% offline in your browser.

What Compliance Officers Send to AI — and What They Should Be Sending Instead

Managing sensitive workflows for Washington My Health My Data Act dictates how modern enterprises approach compliance-safe AI adoption. Deploying services like PrivacyScrubber, local DLP rules, and compliance auditing tools introduces the severe risk of unredacted PII leaking into public training sets, which directly threatens compliance standards. Through our compliance AI privacy guides, security leaders get a clear strategy to defend the compliance perimeter during AI scaling. The primary issue remains failing to demonstrate technical controls for data masking while using external LLM providers.

When staff upload regulated compliance records or paste sensitive datasets into remote LLMs, each prompt poses a serious regulatory risk. Legacy API firewalls cannot meet the strict, granular auditing demanded by compliance standards. For compliance officers, DPOs, GRC managers, and legal counsel, the primary point of failure is sending raw prompt text to the cloud. Comply with Washington My Health My Data Act (MHMDA) when using AI. Protect non-HIPAA consumer health, wellness, and biometric data from cloud LLM leakage with zero-trust redaction. Includes Flat-rate TEAMS pricing and Zero-server architecture.

Privacy Insight: Washington’s My Health My Data Act (MHMDA) applies far beyond traditional HIPAA entities, covering any company that processes consumer health data—including fitness tracking, reproductive health, biometric identifiers, health search queries, and mental wellness notes. Unlike HIPAA, MHMDA grants consumers a Private Right of Action with statutory damages. Pasting wellness or diagnostic notes into ChatGPT creates actionable legal exposure under Washington law without local pre-prompt masking.

Why Compliance Compliance Teams Flag Unmasked AI Prompts

Compliance auditors look for explicit safeguards: SOC 2 Type II, ISO 27001, HIPAA PHI de-identification standards, and the EU AI Act 2026. Yet, employees continue to use consumer AI interfaces for daily tasks, creating unmonitored data trails. Adopting the strategies in connecticut ctdpa & florida fdbr helps organizations build a defensible architecture that keeps records secure. The only standard that satisfies GRC is full browser-side data masking. Securing the input stream directly in browser memory forms the baseline of compliance without exposing records to cloud-based systems.

PrivacyScrubber delivers client-side protection through local Zero-Trust Data Sanitization (ZTDS), operating as a manual copy-paste board and via the PrivacyScrubber Chrome Extension.

How to Use AI on Real Compliance Data — Without Sending a Single Real Name

PrivacyScrubber delivers client-side protection through local Zero-Trust Data Sanitization (ZTDS), operating as a manual copy-paste board and via the PrivacyScrubber Chrome Extension. The in-browser processor automatically maps and replaces identifying information with secure, non-associative tokens (like [NAME_1]) before cloud dispatch. This satisfies the requirements of offline compliance audits, allowing teams to utilize cloud engines without sending raw patient, customer, or employee identities. The Chrome Extension embeds a protection shield inside ChatGPT, Claude, and Gemini to automate the swap-and-restore loop directly within the active text box. By executing Named Entity Recognition entirely in local memory, PrivacyScrubber preserves the usefulness of PrivacyScrubber, local DLP rules, and compliance auditing tools for production workflows without introducing external risk.

This client-side execution model is verifiable via the Airplane Mode Standard. Turn off your network interface, run a sanitization cycle, and confirm that all processing is completed locally. This aligns with global compliance frameworks, proving that no database or server logs receive unmasked data.

Pass GRC Audits & Govern Team AI Workflows

Preparing for a HIPAA, GDPR, or SOC 2 audit? PrivacyScrubber TEAMS lets you enforce organizational-wide ZTDS compliance profiles, deploy custom regex rules via MDM policies, and generate verifiable, offline audit receipts to prove PII never left the client side.

Zero-Trust Configuration & Threat Model

Deploying local data controls is critical when routing prompts to external platforms like PrivacyScrubber, local DLP rules, and compliance auditing tools. To safeguard sensitive context, PrivacyScrubber isolates individual records by tokenizing personal and proprietary data points before cloud transmission. For this specific workflow, the browser-based Named Entity Recognition (NER) classifier targets identifying markers, achieving an average processing speed of 11ms. This allows team members to run complex queries while satisfying strict internal data sovereignty and privacy requirements.

Verification Protocol

  • Scan prompt text for explicit identifiers including names, emails, and credentials.
  • Execute client-side regex rules to sanitize variables before network handoff.
  • Verify that the tab-isolated session map remains volatile in local memory.
  • Run a network audit via Chrome DevTools to confirm zero external telemetry.

Parser Specifications

Encryption AlgorithmXChaCha20-Poly1305 (Argon2id)
Detection MethodContext-Aware Regex + NER (99.6% Accuracy)
Data Egress RuleZero-Server Egress (Airplane Mode Verifiable)
Classification StandardStandard Privacy Guard
Associated Threat LevelMedium (Metadata Leak)
Instant Simulation

Washington My Health My Data Act Sanitizer

Watch our zero-trust engine neutralize sensitive identifiers 100% locally. No data ever leaves your device.

Local processing 0 Server logs
ZTDS_ENGINE_V1.5.0
PROMPT INPUT > Summarize client file: Author Jane Miller (jane.miller@company.com), phone: 555-0182, location: 123 Maple Street.
PROMPT INPUT > Summarize client file: Author [NAME_1] ([EMAIL_1]), phone: [PHONE_1], location: [ADDRESS_1].

Compliance Detection Profile

Our zero-trust engine is pre-hardened for Compliance workflows, automatically identifying and tokenizing the following parameters 100% locally.

CUSTOMER_PII
Active Protection
AUDIT_LOG_ID
Active Protection
EMPLOYEE_NAME
Active Protection
REGULATION_REF
Active Protection
DPO_NAME
Active Protection

Zero-Trust Architecture

PrivacyScrubber operates entirely on your device. Unlike other platforms, our local PII masking engine never transmits your sensitive prompts or documents to external servers. All detection and restoration happens in your computer's local RAM.

  • No Backend Connection: Zero API calls, zero tracking, zero logs.
  • Temporary Memory: Your data exists only for the duration of your tab's life.
  • Verification Ready: Built for professionals who need to audit their security layer with global compliance frameworks.

Hardware-Level Verification

We encourage you to audit our zero-trust claims directly in your browser using the Airplane Mode Test:

1

Open your browser's Network Monitor before you start scrubbing.

2

Switch to Airplane Mode (physical or simulated) and protect your text.

3

Verify that no data packets ever leave your machine.

ChatGPT (OpenAI) Integration

Step-by-Step Integration Guide: Washington My Health My Data Act

PrivacyScrubber operates entirely client-side. Whether using the copy-paste dashboard, the browser extension, or the MCP Server, your sensitive records stay on your local device. Follow these instructions to safely use ChatGPT (OpenAI):

1 Method A: Zero-Trust Web Workspace (Copy-Paste)

Best for manual prompt sanitization without installing plugins:

  1. Open the PrivacyScrubber Web App dashboard in your browser.
  2. Paste the raw text, clinical note, brief, or statement for Washington My Health My Data Act.
  3. Click Protect PII. Sensitive data is instantly swapped for secure placeholders (e.g., [NAME_1]).
  4. Submit the sanitized prompt to ChatGPT (OpenAI).
  5. Paste the AI's answer into the Reveal Originals box to instantly restore the original values.

2 Method B: Chrome Extension & Teams Handoff

For inline prompt protection & air-gapped group sessions:

  1. Install the free PrivacyScrubber Chrome Extension from the Web Store.
  2. Navigate to your AI chat interface. A PrivacyScrubber shield button appears inline in the chat prompt.
  3. Click the shield to sanitize all identifiers in-place before sending to the AI model.
  4. Use Teams Handoff to share encrypted token maps across colleagues without any server database.

Local Redaction & Risk Matrix for Compliance

Detection EntityToken PlaceholderRisk LevelSecurity Action
CUSTOMER_PII Details[CUSTOMER_PII]Medium (PII Exposure)Deterministic local swap
AUDIT_LOG_ID Details[AUDIT_LOG_ID]Medium (PII Exposure)Deterministic local swap
EMPLOYEE_NAME Details[EMPLOYEE_NAME]Medium (PII Exposure)Deterministic local swap
REGULATION_REF Details[REGULATION_REF]Medium (PII Exposure)Deterministic local swap
DPO_NAME Details[DPO_NAME]Medium (PII Exposure)Deterministic local swap
3-Step Execution Model

From Sensitive Legal Records to Safe AI Brief — 3 Steps, Zero Privilege Waiver

Open PrivacyScrubber or the Chrome Extension. Paste your real Washington My Health My Data Act text. Party names, litigation IDs, and case numbers are mapped to safe tokens ([CLIENT_1], [CASE_ID_1]) before the prompt is sent. Maintain attorney-client privilege under ABA Model Rule 1.6 with 100% local RAM execution.

Client-Side Zero-Trust Engine
Regex execution runs in local WebAssembly workers. Zero outbound API calls.
Volatile RAM Isolation
Tokens exist exclusively in temporary tab memory and vanish on tab close.
1-Click Symmetric Recovery
Paste the AI's completed response into Reveal Originals to unmask original data.
Automated Detection Classes:
[CUSTOMER_PII][AUDIT_LOG_ID][EMPLOYEE_NAME][REGULATION_REF][DPO_NAME]
01
1

Step 1: Paste Deposition, Contract or Brief

Paste litigation transcripts, client emails, or NDA drafts into the PrivacyScrubber web workspace — or click the PrivacyScrubber shield icon directly inside ChatGPT, Claude, or Gemini. The in-DOM shield intercepts client identifiers before you hit send.

02
2

Step 2: Litigants & Case Numbers Masked in RAM

Our zero-trust engine replaces litigant identities, confidential settlement figures, and case numbers with deterministic tokens. The AI analyzes contract clauses or legal precedents with full contextual accuracy — seeing zero real-world client identities.

Standard: ABA Rule 1.6 & Zero Cloud Egress (Volatile RAM)
03
3

Step 3: 1-Click Reverse Reveal for Final Court Brief

Paste the AI's legal memo or redlined draft into Reveal Originals. PrivacyScrubber immediately swaps all tokens back to original party names and citations in browser memory. Close the tab and all mappings are destroyed forever.

Guarantee: Privilege intact · Destroyed on tab close

Compliance Adoption Use Cases

CISO Security TeamDLP GOVERNANCE
Zero-Trust Verified
Security teams deploy client-side sanitization to keep outbound AI prompts free of sensitive organizational data, avoiding complex multi-party DPA negotiations.
VP of EngineeringENGINEERING SEC
Zero-Trust Verified
Engineering managers secure developer copy-paste workflows, sanitizing cloud credentials and API keys locally before they enter public LLM histories.
Risk & Audit LeadCOMPLIANCE AUDIT
Zero-Trust Verified
Compliance directors verify local-only sanitization at the browser extension level, satisfying SOC 2 Type II controls for external AI data transmission.
Data Protection OfficerGDPR COMPLIANCE
Zero-Trust Verified
Data protection officers enforce client-side tokenization, keeping prompt text fully minimized and anonymous in compliance with GDPR data processing rules.

Scrub it before it reaches the AI — right from your toolbar

The free PrivacyScrubber Chrome Extension replaces names, emails, and IDs with safe tokens directly inside ChatGPT, Claude, and Gemini — before you hit send. Nothing leaves your browser.

Flat Rate — Unlimited Seats

Your Whole Team on Real Client Data. Safely. $99/mo Flat.

No per-seat pricing. No DPA negotiation. No IT portal. Secure your entire organization with client-side PII masking$99/month flat, unlimited users. SOC 2 & HIPAA ready. Works in Airplane Mode.

Zero-Trust Data Sanitization (ZTDS) — Verified Architecture

Independently auditable facts for Compliance compliance teams

Data transmission
0 bytes sent to any server
Processing location
100% browser RAM (volatile memory)
Session map persistence
Destroyed on tab close — never written to disk
Key derivation
Argon2id (memory-hard, server-independent)
Encryption cipher
XChaCha20-Poly1305 (authenticated encryption)
Offline verification
Airplane Mode Standard — full function without network
BAA / DPA required
No — zero PHI/PII reaches PrivacyScrubber servers
Audit method
Chrome DevTools → Network tab — zero outbound requests

How to audit: Open PrivacyScrubber, enable Airplane Mode, paste any compliance text, click Protect PII. Open Chrome DevTools → Network tab. Zero outbound requests will confirm 100% local execution. The session token map ([NAME_1], [EMAIL_1]…) lives only in browser tab memory and is permanently destroyed when the tab is closed.

COMPLIANCE FAQ

Frequently Asked Questions

Common questions about deploying zero-trust AI for Compliance Teams.

How does Washington MHMDA differ from HIPAA for AI tools?
HIPAA only covers Covered Entities and Business Associates. MHMDA covers any entity collecting or processing consumer health data of Washington residents. Furthermore, MHMDA includes a Private Right of Action allowing individuals to sue directly for unauthorized health data sharing with AI providers.
What constitutes Consumer Health Data under Washington MHMDA?
Consumer health data is broadly defined as any personal information linked or reasonably linkable to a consumer’s past, present, or future physical or mental health status, including symptoms, treatments, diagnoses, medications, biometric data, and health-related searches or prompts.
How does PrivacyScrubber protect against MHMDA lawsuits?
PrivacyScrubber’s Medical & PHI profile identifies and masks clinical terms, patient symptoms, and health identifiers locally in browser RAM before prompt transmission. Because zero health data is sent to external LLMs, no unauthorized disclosure occurs under MHMDA.
Does protecting data with PrivacyScrubber before AI processing satisfy SOC 2 Type II?
Yes. Processing pseudonymized data for a secondary purpose (AI analysis or drafting) aligns with SOC 2 Type II because no personally identifiable data is transmitted to the AI provider. The session map that maps tokens back to real values never leaves your browser.
What specific PII does PrivacyScrubber detect for compliance workflows?
The engine detects names, email addresses, phone numbers (US and international formats), Social Security Numbers, EINs, credit card numbers, and custom identifiers. PRO users can add custom regex rules to match compliance-specific patterns such as proprietary account IDs, MRNs, or internal project codes.
Can I reverse the redaction if I use PrivacyScrubber to mask compliance data?
Yes. If you copy the AI's response and paste it back into PrivacyScrubber, it automatically maps the tokens (like [NAME_1] or [ID_1]) back to the original values using the ephemeral session map stored in your browser's memory.
Can PrivacyScrubber be used 100% offline without network requests?
Yes. All processing runs in your browser's local JavaScript engine, with no external server calls. Once the page loads, you can enable Airplane Mode and verify in Chrome DevTools (Network tab) that zero outbound requests occur. All cryptographic operations (including client-side pseudonymization and reverse-revealing) utilize hardware-accelerated XChaCha20-Poly1305 encryption and Argon2id key derivation running entirely inside browser RAM, ensuring your compliance data stays 100% on your device.
How can I verify that PrivacyScrubber sends zero data to servers?
Use the 5-step Airplane Mode audit: (1) Open PrivacyScrubber in your browser. (2) Disconnect your network connection (enable Airplane Mode). (3) Paste a text sample containing names, emails, and phone numbers. (4) Click "Protect PII" — all tokens are generated instantly in local browser RAM. (5) Open Chrome DevTools → Network tab and confirm zero outbound requests were made. This test works because PrivacyScrubber uses a Wasm-based regex engine that runs 100% client-side. The session token map (e.g. [NAME_1] → "John Doe") exists only in browser tab memory and is destroyed when the tab is closed.
Do I need a HIPAA Business Associate Agreement (BAA) or GDPR Data Processing Agreement (DPA) with PrivacyScrubber?
No. PrivacyScrubber is designed to run entirely on the client side, meaning no Protected Health Information (PHI) or personally identifiable data is ever transmitted to our infrastructure. Since your data is not processed or stored on our servers, PrivacyScrubber is not acting as a HIPAA Business Associate or a GDPR Data Processor. Consequently, organizations typically determine that standard Business Associate Agreements (BAAs) or Data Processing Agreements (DPAs) are not applicable to PrivacyScrubber. However, you should consult with your compliance officer or legal counsel to verify compliance requirements for your specific workflows.
Can I customize detection rules for industry-specific data formats?
Yes. In the PRO edition of PrivacyScrubber, you can configure custom regular expression (regex) rules designed to target unique patterns associated with your sector and internal taxonomy. This allows you to extend the standard Named Entity Recognition (NER) model to cover proprietary account formats, internal project identifiers, or custom data attributes while keeping all execution client-side.
Is pasting sensitive data into ChatGPT safe?
Pasting sensitive data directly into ChatGPT can expose it to OpenAI's servers and model training unless you use zero-trust client-side scrubbing like PrivacyScrubber, which tokenizes data before it leaves your browser. Protect your workflows for $15/mo with PRO.
How does client-side PII redaction work?
Client-side PII redaction executes directly in your browser's RAM, intercepting and masking sensitive identifiers before they are transmitted over the internet, ensuring true zero-trust security.
How does the Secure Workspace differ from the Browser Extension?
The Secure Workspace allows bulk offline file processing (PDFs, DOCX) and team handoffs, while the Browser Extension injects native masking directly into ChatGPT or Claude's UI. Both are included in our zero-trust ecosystem.
What is the PII MCP Server used for?
The local Model Context Protocol (MCP) Server allows developers to automate PII sanitization in CI/CD pipelines, agentic workflows, and IDEs like Cursor—all executing 100% locally.
What Compliance Officers Send to AI — and What They Should Be Sending Instead
Why Compliance Compliance Teams Flag Unmasked AI Prompts
Compliance auditors look for explicit safeguards: SOC 2 Type II, ISO 27001, HIPAA PHI de-identification standards, and the EU AI Act 2026. Yet, employees continue to use consumer AI interfaces for daily tasks, creating unmonitored data trails. Adopting the strategies in connecticut ctdpa & florida fdbr helps organizations build a defensible architecture that keeps records secure. The only standard that satisfies GRC is full browser-side data masking. Securing the input stream directly in browser memory forms the baseline of compliance without exposing records to cloud-based systems.
How to Use AI on Real Compliance Data — Without Sending a Single Real Name
PrivacyScrubber delivers client-side protection through local Zero-Trust Data Sanitization (ZTDS), operating as a manual copy-paste board and via the PrivacyScrubber Chrome Extension. The in-browser processor automatically maps and replaces identifying information with secure, non-associative tokens (like [NAME_1]) before cloud dispatch. This satisfies the requirements of offline compliance audits, allowing teams to utilize cloud engines without sending raw patient, customer, or employee identities. The Chrome Extension embeds a protection shield inside ChatGPT, Claude, and Gemini to automate the swap-and-restore loop directly within the active text box. By executing Named Entity Recognition entirely in local memory, PrivacyScrubber preserves the usefulness of PrivacyScrubber, local DLP rules, and compliance auditing tools for production workflows without introducing external risk.
Is PrivacyScrubber safe for Washington My Health My Data Act AI, MHMDA ChatGPT health data, Washington health privacy LLM, MHMDA private right of action AI, consumer health data masking?
Yes, absolutely. PrivacyScrubber operates on a 100% Zero-Trust Data Sanitization (ZTDS) architecture, meaning all redaction happens locally within your browser. When working with Washington My Health My Data Act AI, MHMDA ChatGPT health data, Washington health privacy LLM, MHMDA private right of action AI, consumer health data masking, no sensitive data ever leaves your device or touches a cloud server.
How does it handle custom data structures for compliance?
Our engine includes 22+ built-in industry profiles optimized for compliance data. Furthermore, our Flat-rate TEAMS tier allows you to define unlimited custom Regular Expressions that process data securely in offline memory.
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