Does PrivacyScrubber send my data anywhere?

No. All detection and masking happens locally in your browser's memory. You can verify this yourself by opening your browser's Network tab or disconnecting from the internet — the tool keeps working.

What AI tools does it work with?

ChatGPT, Claude, Gemini, Copilot, Grok, Llama, Perplexity, Mistral, and Hugging Face Chat. The browser extension adds in-page masking directly inside each of these.

Is the free version good enough for regular use?

The free tier covers core PII types (names, emails, phone numbers) up to 15,000 characters per scrub, with a 3-page PDF limit. Batch processing, OCR, and industry-specific detection profiles (legal, medical, finance, etc.) require PRO.

Does this satisfy HIPAA, GDPR, or SOC 2 requirements?

PrivacyScrubber is designed to support de-identification under HIPAA Safe Harbor, GDPR Article 25/32, and SOC 2 CC6-series controls by removing identifiers before data reaches a third-party AI tool. It is a technical control, not a substitute for a full compliance program — check with your compliance team on whether it fully satisfies your specific obligations.

Can I get my original data back after the AI responds?

Yes. Paste the AI's response back into the tool and click "Reveal" — it swaps the tokens back to your real data locally, with no server round-trip.

Is PrivacyScrubber a local or cloud PII scrubber?

PrivacyScrubber is a 100% local, browser-based PII scrubber. Unlike cloud DLP solutions, it performs enterprise-grade PII and PHI scrubbing entirely in your browser's RAM, ensuring zero-trust data sanitization for texts and documents (PDFs, DOCX, CSV) without ever sending data to an external server.

What happens to the session map when I close the browser?

The session map is stored exclusively in volatile browser RAM. The moment you close the tab, reload the page, or navigate away, the entire mapping — including all original PII values — is permanently destroyed.

Does PrivacyScrubber remove PII from uploaded documents, and what is the output format?

Yes. PrivacyScrubber detects and scrubs PII from local documents (.txt, .docx, .pdf, .xlsx, .csv, and images). You can download the output either as a fully sanitized, anonymized document (retaining its original file extension and structure) or copy the processed text stream directly to your clipboard.

How does the TEAMS encrypted session sharing work?

PrivacyScrubber generates an AES-GCM encrypted link locally. Your colleague can paste the AI's response and use your shared, encrypted key to safely 'reveal' the original data on their machine — no database or server involved.

How does closed Shadow DOM sandboxing protect my data from malicious scripts?

PrivacyScrubber encloses both your editor input (#inputText) and the highlighted token output within isolated, closed Shadow DOM roots. This makes the raw, unredacted text completely inaccessible to any third-party scripts, browser extensions, or key-sniffing scripts running in your main document pool, creating a hardened frontend sandbox.

Can corporate accounts or accounting firms pay via manual invoice or wire transfer (SWIFT/SEPA)?

Yes. If your corporate credit card is declined due to international banking restrictions or if your procurement department requires manual invoicing, purchase orders (PO), or bank wire transfers (SWIFT/SEPA), our team can manually issue a formal invoice with tax reverse-charge support. Contact support@privacyscrubber.com to request an enterprise invoice.

How does PrivacyScrubber prevent data residue in system RAM (V8 memory wiping)?

To prevent PII or case documents from remaining in your device's memory after sanitization, the processing engine actively overwrites all temporary parsing buffers (used for DOCX, PDF, and spreadsheet extraction) at the byte level using Uint8Array.fill(0) in local memory immediately after use, ensuring zero sensitive residue remains in RAM before garbage collection.

Does changing the detection profile reset my protected session data?

No. Changing your detection profile (e.g., from General PII to Wealth Management) does not clear your active session or reset your local token maps. This ensures that any tokens generated using your previous profile remain fully decryptable when you paste AI responses back to 'Reveal' the original text. To completely wipe your session, rotate encryption keys, and clear all memory, click the 'Clear' button at any time.

How do local Audit Receipts and Teams Handoff work without a backend database?

PrivacyScrubber operates entirely in your browser's local RAM. Compliance audit receipts and team handoffs are exclusive features of the Teams Subscription. For audit compliance, the system builds an offline cryptographic PDF receipt documenting entity counts, timestamps, and active compliance profiles. For Teams Handoff, it encrypts the tab's session map in-memory using Argon2id and XChaCha20-Poly1305. Your colleague decrypts the token map on their machine using the shared key — no central database or server ever touches your data.

Does PrivacyScrubber use third-party tracking, analytics, or review widgets?

No. To maintain a strict zero-trust data sanitization architecture, PrivacyScrubber does not load third-party analytics trackers, cookies, or reviews integrations (such as Google Customer Reviews or similar widgets). Adding dynamic third-party scripts would require relaxing our Content Security Policy (CSP) and could allow external servers to inspect page states or log user environments. We display reviews statically or link to external platforms like G2 or the Chrome Web Store to ensure zero data leakage.

Can I use PrivacyScrubber as a PII MCP Server for Cursor or Claude Desktop?

Yes. PrivacyScrubber offers an official local Model Context Protocol (MCP) server package (@privacyscrubber/mcp-server) that integrates directly with Cursor IDE, Windsurf, and Claude Desktop. It acts as a local prompt security gateway, scanning and masking PII and API keys locally in volatile RAM before they are transmitted to external LLM APIs.

How are Team Administrator roles managed without a backend server?

In our Zero-Trust Data Sanitization (ZTDS) architecture, there are no server-side accounts or traditional 'Admin' vs 'User' roles. Team Administration is handled via client-side Blueprints. A team lead sets up the required compliance profiles, custom regex rules, and organization name locally, then locks the configuration and exports a cryptographic 'Team Blueprint' URL. When workers click this URL, their local PrivacyScrubber instance activates the TEAMS license, imports the mandated configuration, and disables their ability to edit or delete rules, ensuring organization-wide compliance securely without a backend database.

What is the difference between Token Labels and Custom Regex Rules?

Custom Regex Rules and Token Labels serve distinct purposes in Zero-Trust AI sanitization. Custom Regex Rules are a pattern discovery engine used to identify new or proprietary identifiers (such as internal ticket numbers, project codes like PROJ-\d{4}, or custom account formats) that are not covered by default NER models. In contrast, Token Labels do not search for new text; instead, they rename the replacement placeholders for standard detected entities (for example, mapping NAME → PATIENT or ID → CASE_NUMBER) so that the LLM receives domain-accurate semantic context in its prompt without requiring custom regex code.

How do Custom Token Labels optimize LLM prompt comprehension?

When prompts are sanitized using generic placeholders like [NAME_1] or [ID_1], LLMs may lose contextual role differentiation in multi-party prompts. Custom Token Labels allow PRO and TEAMS users to alias standard entity categories to domain-specific terminology (such as [PATIENT_1], [CLIENT_1], [PLAINTIFF_1], or [DEFENDANT_1]). This gives the LLM precise semantic clarity about each entity's functional role while preserving 100% anonymization and enabling seamless 1-click reverse-scrubbing ('Reveal') of the AI response.

HIPAA-Aligned PII Protection for Healthcare

Medical

EHR AI Safety: De-identify Before LLMs

De-identify Electronic Health Record (EHR) data before using AI tools. Our 100% local browser engine sanitizes clinical PHI offline to support compliance. Includes Flat-rate TEAMS pricing and Zero-server architecture.

Ilya SibiryakovPrivacy Architect

Published: August 16, 2026 · Updated: August 16, 2026 · 3 min read

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 Medical professionals using generative AI. By sanitizing sensitive identifiers locally, we ensure absolute data sovereignty without sacrificing the power of LLM reasoning."

Paste real Medical 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.

GO PRO

In This Article

Live Simulation

Zero-Trust Data Sanitization

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

Automated Detection Classes:

Patient NamesMedical Record Numbers (MRN)Dates of Birth (DOB)Clinical Diagnoses & SymptomsHealth Insurance Plan IDs

100% Client-Side Execution

Wasm_Engine

CLINICAL NOTE > Patient: Sarah Mitchell, DOB: 07/22/1974 MRN: MRN-00482901 | Insurance: BCBS-ID-774422 Dx: Type 2 Diabetes. Referred to Dr. Alan Patel.

CLINICAL NOTE > Patient: [NAME_1], DOB: [DATE_1] MRN: [MRN_1] | Insurance: [ID_1] Dx: Type 2 Diabetes. Referred to Dr. [NAME_2].

AI Risk Calculator

Company

AI Users50

Risk● Critical

Leaks/yr

9,000

Max Fine

€20M

The Zero-Trust Imperative: Achieve HIPAA compliance in your AI workflows without purchasing expensive Enterprise LLM licenses. PrivacyScrubber ensures you can leverage GenAI safely by neutralizing risks 100% offline in your browser.

What Medical Professionals Send to AI — and What They Should Be Sending Instead

To achieve safe AI integration for EHR AI Safety in healthcare environments, organizations must protect patient privacy. Integrating tools like ChatGPT, clinical decision support AI, and AI-assisted documentation platforms without local de-identification introduces significant compliance liabilities. Our medical AI privacy guides provides the framework for mitigating exposing Protected Health Information (PHI) to third-party AI servers, which constitutes a HIPAA breach and carries penalties up to $1.9M per violation category at the intake source.

Pasting patient records or diagnostic notes containing protected health identifiers into an external AI immediately violates privacy thresholds. Standard 'do not train' toggles are not enough to satisfy BAA requirements in many jurisdictions. For clinicians, nurses, medical researchers, and healthcare administrators, managing this exposure is critical. De-identify Electronic Health Record (EHR) data before using AI tools. Our 100% local browser engine sanitizes clinical PHI offline to support compliance. Includes Flat-rate TEAMS pricing and Zero-server architecture.

Why Medical Compliance Teams Flag Unmasked AI Prompts

Compliance auditors demand strict safeguards: HIPAA Privacy Rule, HIPAA Security Rule, and the Common Rule (45 CFR 46) for research involving human subjects. However, daily clinical workflows often bypass static network security tools. Mitigating this risk requires adopting the frameworks in mental health ai privacy to ensure that clinical records are sanitized before external transit. The only reliable approach is stripping details locally. Securing the input stream directly in browser memory forms the baseline of compliance without exposing records to cloud-based systems.

PrivacyScrubber protects clinical workflows using Zero-Trust Data Sanitization (ZTDS) in the browser, available via the web dashboard or the automated PrivacyScrubber Chrome Extension.

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

PrivacyScrubber protects clinical workflows using Zero-Trust Data Sanitization (ZTDS) in the browser, available via the web dashboard or the automated PrivacyScrubber Chrome Extension. The local engine uses Named Entity Recognition (NER) to substitute clinical identifiers (such as [PATIENT_NAME], [MRN_1]) with anonymous tokens before cloud transit. This design aligns with HIPAA-compliant ChatGPT workflows, allowing practitioners to use AI without exposing patient records. The Chrome Extension embeds a protection toggle inside ChatGPT, Claude, and Gemini to automate prompt redaction and detokenize answers in-place. By executing Named Entity Recognition entirely in local memory, PrivacyScrubber preserves the usefulness of ChatGPT, clinical decision support AI, and AI-assisted documentation platforms for production workflows without introducing external risk.

We back this zero-transmission approach through the Airplane Mode Standard. Disconnect from the network, run the de-identification, and verify that no packets leave your device. This satisfies the safety rules in offline compliance auditing for clinical data protection.

Enterprise Grade Redaction Controls

Need to process complex formats or nested documentation? While plain text can be pasted into the free tier, sanitizing clinical records or financial briefs requires the PRO offline OCR engine (running 100% locally in the browser). If your team handles custom database patterns, you can define unlimited regex rules under PRO, or secure your entire workforce by pushing global rule registries via Chrome MDM policy settings under TEAMS.

Upgrade to PRO Deploy TEAMS

Zero-Trust Configuration & Threat Model

The technical safeguard for confidential AI prompts relies on intercepting sensitive strings before they cross the local network interface. By replacing actual values with deterministic placeholders (e.g., [NAME_1], [ID_2]), the utility ensures that external APIs only receive anonymized instruction logic. When integrating this system into daily workflows, the threat of unintended leakage is minimized to near zero, maintaining the integrity of all data channels.

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 Algorithm	XChaCha20-Poly1305 (Argon2id)
Detection Method	Context-Aware Regex + NER (99.4% Accuracy)
Data Egress Rule	Zero-Server Egress (Airplane Mode Verifiable)
Classification Standard	Enhanced Privacy Guard
Associated Threat Level	Critical (Compliance Breach)

Instant Simulation

EHR AI Safety 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 > Analyze the email from Bob Smith (bob.smith@corp.com, tel 555-0123) regarding project timeline.

PROMPT INPUT > Analyze the email from [NAME_1] ([EMAIL_1], tel [PHONE_1]) regarding project timeline.

Medical Detection Profile

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

PATIENT_NAME

Active Protection

MRN

Active Protection

DOB

Active Protection

DIAGNOSIS

Active Protection

INSURANCE_ID

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 offline compliance auditing.

Hardware-Level Verification

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

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

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

Verify that no data packets ever leave your machine.

ChatGPT & Enterprise LLMs Integration

How to Protect Data for EHR AI Safety

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

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

Best for manual prompt sanitization without installing plugins:

Open the PrivacyScrubber Web App dashboard in your browser.
Paste the raw prompt or document text containing sensitive customer, employee, or proprietary identifiers.
Click Protect PII. Sensitive data is instantly swapped for secure placeholders (e.g., [NAME_1]).
Submit the sanitized prompt to ChatGPT & Enterprise LLMs.
Paste the AI's answer into the Reveal Originals box to instantly restore the original values.

2 Method B: Chrome Extension (In-Context Redaction)

For automated, inline de-identification within chat interfaces:

Install the free PrivacyScrubber Chrome Extension from the Web Store.
Navigate to your AI chat interface. A PrivacyScrubber shield button will appear inline.
Paste your raw prompt. Click the shield button to sanitize all identifiers instantly in-place.
Send the prompt to the AI chatbot.
The extension automatically intercepts and detokenizes the response, displaying raw values to you.

Local Redaction & Risk Matrix for Medical

Detection Entity	Token Placeholder	Risk Level	Security Action
Patient Names	[PATIENT_NAME]	Critical (HIPAA PHI leak)	NLP/NER name isolation
Medical Record Numbers (MRN)	[MRN]	Critical (HIPAA Safe Harbor violation)	[MRN_N] tokenization
Dates of Birth (DOB)	[DOB]	High (Re-identification hazard)	ISO/SEPA date masking
Clinical Diagnoses & Symptoms	[DIAGNOSIS]	High (Protected Health Info leak)	Medical lexicon filter
Health Insurance Plan IDs	[INSURANCE_ID]	Critical (HIPAA PHI violation)	[ID_N] local token

VERIFIABLE WORKFLOW

From Raw Medical Data to Clean AI Prompt

3 Steps, 30 Seconds, Zero Server Hops.

Open PrivacyScrubber or the Chrome Extension. Paste your raw prompt or document text. What reaches ChatGPT looks like this: [NAME_1][EMAIL_1]. Your original data stays local the entire time.

Paste Your Real Data

Paste your actual prompt or document text into PrivacyScrubber — or click the shield icon directly inside ChatGPT, Claude, or Gemini. No copy-paste workaround. No second tab. It sits right where you already work.

Automated Detection Classes:

[PATIENT_NAME][MRN][DOB][DIAGNOSIS][INSURANCE_ID]

Names Out, Tokens In — Locally

The engine runs inside your browser. Every real name, ID, and email is replaced with a safe token ([NAME_1], [EMAIL_1]) before the prompt is sent. The AI analyzes your actual business logic — but sees zero real identities.

Safety standard:

Airplane Mode Verified (RAM Only)

Get the AI's Answer Back in Plain Language

Paste the AI's response into Reveal Originals. PrivacyScrubber swaps every token back to the original value — instantly, inside browser RAM. Close the tab and every mapping is gone. Nothing stored, nothing logged, nothing sent.

Privacy Guarantee:

Mapping destroyed on tab close

Medical Adoption Use Cases

Chief Medical Information OfficerHIPAA & HITECH

Zero-Trust Verified

Secures clinical notes and patient records, masking PHI locally before research staff run diagnostic queries through generative LLMs.

Hospital Privacy & Compliance DirectorHEALTHCARE GRC

Zero-Trust Verified

Enforces zero-trust client-side sanitization across nursing and administrative terminals without needing complex BAA vendor agreements with AI providers.

Lead Clinical Informatics InvestigatorCLINICAL RESEARCH

Zero-Trust Verified

Enables multi-center research teams to scrub MRNs, dates, and physician names in browser memory prior to cross-institutional synthesis.

VP of HealthTech InfrastructureTELEHEALTH SEC

Zero-Trust Verified

Replaces sensitive patient IDs with deterministic pseudonyms in volatile RAM, ensuring zero PHI storage on local disks or third-party servers.

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.

Protect My Team

Zero-Trust Data Sanitization (ZTDS) — Verified Architecture

Independently auditable facts for Medical 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 medical 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 Medical Teams.

Does protecting data with PrivacyScrubber before AI processing satisfy HIPAA Privacy Rule?

Yes. Processing pseudonymized data for a secondary purpose (AI analysis or drafting) aligns with HIPAA Privacy Rule 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 medical 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 medical-specific patterns such as proprietary account IDs, MRNs, or internal project codes.

Can I reverse the redaction if I use PrivacyScrubber to mask medical 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 medical 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.

Can I use AI to summarize patient records?

Only if you de-identify the records first. Uploading raw patient notes to public AI models violates HIPAA. PrivacyScrubber's local processing ensures PHI is masked before summarization. Protect your entire staff with TEAMS for $99/mo.

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 Medical Professionals Send to AI — and What They Should Be Sending Instead

Why Medical Compliance Teams Flag Unmasked AI Prompts

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

PrivacyScrubber protects clinical workflows using Zero-Trust Data Sanitization (ZTDS) in the browser, available via the web dashboard or the automated PrivacyScrubber Chrome Extension. The local engine uses Named Entity Recognition (NER) to substitute clinical identifiers (such as [PATIENT_NAME], [MRN_1]) with anonymous tokens before cloud transit. This design aligns with HIPAA-compliant ChatGPT workflows, allowing practitioners to use AI without exposing patient records. The Chrome Extension embeds a protection toggle inside ChatGPT, Claude, and Gemini to automate prompt redaction and detokenize answers in-place. By executing Named Entity Recognition entirely in local memory, PrivacyScrubber preserves the usefulness of ChatGPT, clinical decision support AI, and AI-assisted documentation platforms for production workflows without introducing external risk.

Is PrivacyScrubber safe for EHR AI safety, electronic health record privacy, Epic Cerner AI data protector?

Yes, absolutely. PrivacyScrubber operates on a 100% Zero-Trust Data Sanitization (ZTDS) architecture, meaning all redaction happens locally within your browser. When working with EHR AI safety, electronic health record privacy, Epic Cerner AI data protector, no sensitive data ever leaves your device or touches a cloud server.

How does it handle custom data structures for medical?

Our engine includes 22+ built-in industry profiles optimized for medical 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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