Does PrivacyScrubber send my data to any server?

No. Every detection and masking operation runs locally inside your browser's RAM. Zero bytes of your text, documents, or session tokens leave your device. Verify this yourself: open DevTools → Network tab, or disconnect from the internet entirely — the tool keeps working offline.

Which AI platforms does the browser extension support?

The Chrome extension injects real-time PII masking directly inside ChatGPT, Claude, Gemini, Microsoft Copilot (Bing Chat), Grok, Perplexity, DeepSeek, Qwen, Kimi, and Zendesk. For any other AI tool (including self-hosted models like Llama or Mistral), use the web app at privacyscrubber.com to sanitize text before pasting it into any interface.

What does the free version include?

The free tier includes the General PII profile (names, emails, phones, SSNs, EINs, addresses, corporate entity names), text scrubbing up to 15,000 characters, single-file upload (.txt, .docx), PDF text extraction up to 3 pages, and the full Reveal (reverse-scrub) workflow. PRO unlocks 22+ industry detection profiles, batch file processing, unlimited custom regex rules, offline OCR for scanned images, unlimited PDF pages, and downloadable redacted PDFs.

Can PrivacyScrubber sanitize W-2 forms, paystubs, and payroll documents?

Yes. The core engine natively detects Employer Identification Numbers (EIN/FEIN), payroll-format names (LASTNAME, FIRSTNAME), corporate employer names with legal suffixes (Inc, LLC, Corp, etc.), and full US street addresses with city/state/ZIP codes. All wage amounts, tax withholdings, hourly rates, and financial figures are preserved untouched — exactly what income verification and loan underwriting workflows require.

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

Yes. Paste the AI's response back into the tool and click Reveal. The engine swaps every token ([NAME_1], [EMAIL_2], etc.) back to the original value using your local session map — no server round-trip, no data stored anywhere.

Does this help with HIPAA, GDPR, or SOC 2 compliance?

PrivacyScrubber is designed to support de-identification under HIPAA Safe Harbor (45 CFR §164.514), GDPR Article 25/32 data minimization, and SOC 2 CC6-series logical access controls by stripping identifiers before data reaches any third-party AI tool. It is a technical control layer, not a substitute for a complete compliance program — consult your GRC team on whether it fully satisfies your specific regulatory obligations.

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

The session map exists exclusively in volatile browser RAM and is strictly isolated per tab. The moment you close the tab, reload the page, or navigate away, the entire mapping — including all original PII values and encryption keys — is permanently destroyed. There is no localStorage, no cookies, no IndexedDB persistence of session data.

What file formats can I sanitize, and what do I get back?

Supported input formats: .txt, .docx, .pdf (text-layer and scanned/OCR), .xlsx, .csv, and images (PNG, JPG, TIFF via on-device Tesseract OCR). With PRO, you can download the output as a fully redacted PDF with black-box overlays covering detected PII while preserving the original document layout, or copy the sanitized text stream to your clipboard.

How does TEAMS encrypted session handoff work?

TEAMS session handoff uses Argon2id key derivation and XChaCha20-Poly1305 authenticated encryption (via libsodium WASM). The entire session map is encrypted locally in your browser, producing a shareable link. Your colleague opens the link, enters the shared passphrase, and decrypts the token map entirely on their machine — no server, no database, no intermediary ever touches the payload.

How does Shadow DOM sandboxing protect against malicious scripts?

PrivacyScrubber wraps both the editor input and the highlighted token output inside closed Shadow DOM roots. This makes unredacted text completely inaccessible to third-party scripts, other browser extensions, or DOM-scraping attacks running on the host page — creating a hardened isolation boundary around your sensitive data.

Can I use PrivacyScrubber as an MCP server in Cursor, Windsurf, or Claude Desktop?

Yes. The official @privacyscrubber/mcp-server package runs as a local stdio-based Model Context Protocol server. It intercepts prompts, sanitizes PII and developer secrets (API keys, tokens, connection strings) in volatile RAM, and passes clean text to the LLM. Install via npx @anthropic-ai/create-mcp '"@privacyscrubber/mcp-server"' or add it to your mcp_config.json manually.

Is there a developer SDK for integrating PII sanitization into my own pipeline?

Yes. The @privacyscrubber/sdk NPM package exposes the same detection engine used by the web app and extension as a programmatic Node.js API. Call scrubText() to sanitize, unscrubText() to rehydrate, and detectMatches() to inspect matches — all running in-process with zero network calls. Ideal for CI/CD pipelines, backend pre-processing, or custom LLM orchestration.

Does changing the detection profile reset my session?

No. Switching profiles (e.g., from General PII to Medical or Finance) does not clear your active session or token maps. Tokens generated under the previous profile remain fully restorable via Reveal. To wipe all session data, encryption keys, and token maps, click the Clear button explicitly.

How does PrivacyScrubber prevent data residue in system RAM?

After processing documents (DOCX, PDF, XLSX), the engine overwrites all temporary ArrayBuffer parsing buffers at the byte level using Uint8Array.fill(0) before releasing them to garbage collection. This prevents residual PII fragments from persisting in browser memory after sanitization completes.

Can enterprise or accounting teams pay via invoice or wire transfer?

Yes. If your procurement department requires formal invoicing, purchase orders (PO), or bank wire transfers (SWIFT/SEPA), we issue manual invoices with tax reverse-charge support for EU VAT. Contact support@privacyscrubber.com or use the Enterprise contact form to request a quote.

Does PrivacyScrubber load any third-party analytics or tracking scripts?

No. The site loads zero third-party analytics trackers, cookies, or review widgets. Adding external scripts would require relaxing the Content Security Policy and could allow third-party servers to inspect page state. Customer reviews are displayed as static content or linked to external platforms (Chrome Web Store, G2) with no embedded tracking.

How are TEAMS admin roles managed without a backend?

There are no server-side accounts. Team leads configure compliance profiles, custom regex rules, and the organization name locally, then lock the configuration and export a cryptographic Team Blueprint URL. When team members open this link, their local instance activates the TEAMS license, imports the locked configuration, and disables editing — enforcing organization-wide compliance rules without any backend database.

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

Custom Regex Rules are a pattern discovery engine — they find new identifiers (internal ticket numbers, project codes like PROJ-1234, proprietary account formats) that the default engine does not cover. Token Labels, in contrast, rename the replacement placeholders for already-detected entities. For example, mapping NAME → PATIENT or ID → CASE_NUMBER gives the LLM domain-accurate semantic context without writing any regex.

Pharma

Pharma & Biotech AI Privacy: FDA 21 CFR Part 11 & Clinical Protocol Security

Safeguard trial participant PHI, proprietary molecular formulas, and clinical trial protocols in Generative AI workflows with local zero-trust data masking. Includes Flat-rate TEAMS pricing and Zero-server architecture.

Ilya SibiryakovPrivacy Architect

Published: August 21, 2026 · Updated: August 21, 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 Pharma professionals using generative AI. By sanitizing sensitive identifiers locally, we ensure absolute data sovereignty without sacrificing the power of LLM reasoning."

Paste real Pharma 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 Pharma data instantly in your browser, without any API calls.

Wasm_Engine

User: John Doe. Email: john@corp.com. Phone: 555-1234.

User: [NAME_1]. Email: [EMAIL_1] Phone: [PHONE_1].

AI Risk Calculator

Company

AI Users50

Risk● Critical

Leaks/yr

9,000

Max Fine

€20M

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

Learning about Pharma & Biotech AI Privacy is essential if you use AI. When you paste text into tools like ChatGPT, DeepSeek, and electronic data capture systems, you might be sharing personal information without knowing it. Our pharma AI privacy guides shows how to use chatbots safely and protect your personal life. The main risk is exposing proprietary trial protocols or participant PHI to public LLM training algorithms.

Every prompt you send containing personal identifiers into AI assistants leaves a permanent digital footprint. AI providers save this history, meaning your private details could be exposed in a future data leak. For cros, data managers, and clinical researchers, masking identifiers at the point of input is crucial. Safeguard trial participant PHI, proprietary molecular formulas, and clinical trial protocols in Generative AI workflows with local zero-trust data masking. Includes Flat-rate TEAMS pricing and Zero-server architecture.

Privacy Insight: Biopharmaceutical sponsors and Contract Research Organizations (CROs) operate under stringent FDA 21 CFR Part 11 and ICH-GCP E6(R3) guidelines regarding electronic records, data integrity, and patient confidentiality. Uploading clinical investigator brochures, trial participant adverse event logs, or patented compound synthesis routes into commercial LLMs risks patent forfeiture and regulatory non-compliance. PrivacyScrubber executes 100% offline in browser RAM to de-identify trial datasets before AI analysis.

PrivacyScrubber acts as an Invisible Shield for your AI chats, functioning either as a simple copy-paste Secure Workspace or an automated Chrome Extension.

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

PrivacyScrubber acts as an Invisible Shield for your AI chats, functioning either as a simple copy-paste Secure Workspace or an automated Chrome Extension. It works right in your browser to spot and hide names, emails, and other personal details, replacing them with generic tags like [NAME_1]. This matches the clever approach used in GDPR compliance — keeping the "brain" of the AI helpful while keeping your identity hidden. The Chrome Extension elevates this by placing a shield icon directly inside ChatGPT, Claude, and Gemini's chat boxes, letting you redact prompts and restore the original details in-place automatically. Running Named Entity Recognition locally ensures that teams can continue leveraging ChatGPT, DeepSeek, and electronic data capture systems for daily queries without any third-party data collection.

You don't have to take our word for it. You can test it yourself using our Airplane Mode Verification: load this page, turn off your Wi-Fi, and hit the protect button. It works perfectly without the internet, which is the gold standard for PII protection standards and personal safety. If it works offline, you know your data is staying with you.

Why Pharma Compliance Teams Flag Unmasked AI Prompts

While laws like HIPAA and FDA 21 CFR Part 11 exist, they can't prevent third-party servers from saving your prompts. Reading clinical trial data redaction for chatgpt helps you understand how to keep your personal data secure. The best standard for personal safety is local, browser-side data masking. Resolving rigorous safety requirements is only possible by sanitizing data before it reaches external neural network providers.

Zero-Trust Configuration & Threat Model

Establishing a secure runtime boundary for generative AI workflows is key to compliance. PrivacyScrubber accomplishes this by processing all unstructured strings directly inside browser memory. The engine's local regex patterns parse prompts in real time and swap them with secure identifiers before transmission. This offline tokenization scheme ensures that third-party LLMs cannot reconstruct the original identities from raw conversation logs.

Verification Protocol

Parse unstructured records for key data points and confidential entities.
Replace high-risk entities with secure placeholders to prevent model training exposure.
Enable local detokenization to restore sanitized responses on client demand.
Audit the local cryptographic hash statement for verification compliance.

Parser Specifications

Encryption Algorithm	XChaCha20-Poly1305 (Argon2id)
Detection Method	Context-Aware Regex + NER (99.5% Accuracy)
Data Egress Rule	Zero-Server Egress (Airplane Mode Verifiable)
Classification Standard	Maximum Privacy Guard
Associated Threat Level	Low (Inference Risk)

Your Private Shield

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 PII protection standards.

Testing Your Safety

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 (OpenAI) Integration

Step-by-Step Integration Guide: Pharma & Biotech AI Privacy

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:

Open the PrivacyScrubber Web App dashboard in your browser.
Paste the raw text, clinical note, brief, or statement for Pharma & Biotech AI Privacy.
Click Protect PII. Sensitive data is instantly swapped for secure placeholders (e.g., [NAME_1]).
Submit the sanitized prompt to ChatGPT (OpenAI).
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:

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

Local Redaction & Risk Matrix for Pharma

Detection Entity	Token Placeholder	Risk Level	Security Action
Customer / Employee Names	[NAME]	High (General GDPR/CCPA PII)	Named Entity Recognition
Email Addresses	[EMAIL]	High (Personal contact PII)	Domain-safe local strip
Phone Numbers	[PHONE]	High (Contact PII leak)	Intl & US phone scrub
National Identifiers (SSN/SIN/NIF)	[ID]	Critical (Identity theft risk)	Checksum validation mask

3-Step Execution Model

From Clinical Notes to HIPAA-Compliant AI Summary — 3 Steps, Zero PHI Egress

Open PrivacyScrubber or the Chrome Extension. Paste your clinical note or EHR summary for Pharma & Biotech AI Privacy. All 18 HIPAA Safe Harbor identifiers are tokenized ([PATIENT_1], [MRN_1]) in local memory. Doctors summarize charts safely without requiring a vendor BAA.

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:

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

Step 1: Ingest EHR Clinical Notes & Charts

Paste physician notes, lab results, or discharge summaries into PrivacyScrubber — or click the shield icon directly in ChatGPT or Claude. The in-DOM extension intercepts patient identifiers directly in your browser without leaving your EHR workflow.

Step 2: Strip 18 HIPAA PHI Identifiers Locally

Our client-side engine strips names, dates of birth, MRNs, phone numbers, and facility locations. The AI model analyzes pathology patterns and clinical symptoms with full diagnostic fidelity while remaining completely blind to patient identity.

Standard: HIPAA Safe Harbor Method (RAM Only)

Step 3: Restore Diagnostic Summary in Local RAM

Paste the AI's clinical synthesis or patient letter into Reveal Originals. Patient identifiers are restored in local memory for your chart notes. Zero server hops, zero data retention.

Guarantee: Zero PHI reaches cloud servers

Pharma 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.

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.

Add the Free Extension for Pharma

Zero-Trust Data Sanitization (ZTDS) — Verified Architecture

Independently auditable facts for Pharma 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 pharma 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 Pharma Teams.

How does local data masking comply with FDA 21 CFR Part 11 electronic record validation?

PrivacyScrubber operates deterministically client-side without modifying underlying clinical source records. Tokenized drafts sent to LLMs for literature review or protocol drafting contain zero participant identifiers or unreleased molecular targets.

Can clinical trial adverse event narratives be summarized safely with ChatGPT?

Yes. PrivacyScrubber strips patient Subject IDs, investigator names, trial site locations, and dates of birth, replacing them with HIPAA-compliant tokens. The LLM summarizes medical event symptomology without learning who the patient is or where the trial is conducted.

How does the tool protect proprietary drug development chemical structures?

PRO and TEAMS tiers allow pharma research teams to configure custom regex rules to automatically redact internal pipeline codes, SMILES strings, and assay batch numbers before AI prompt execution.

Does protecting data with PrivacyScrubber before AI processing satisfy HIPAA and FDA 21 CFR Part 11?

Yes. Processing pseudonymized data for a secondary purpose (AI analysis or drafting) aligns with HIPAA and FDA 21 CFR Part 11 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 pharma 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 pharma-specific patterns such as proprietary account IDs, MRNs, or internal project codes.

Can I reverse the redaction if I use PrivacyScrubber to mask pharma 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 pharma 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 Pharma Professionals Send to AI — and What They Should Be Sending Instead

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

PrivacyScrubber acts as an Invisible Shield for your AI chats, functioning either as a simple copy-paste Secure Workspace or an automated Chrome Extension. It works right in your browser to spot and hide names, emails, and other personal details, replacing them with generic tags like [NAME_1]. This matches the clever approach used in GDPR compliance — keeping the "brain" of the AI helpful while keeping your identity hidden. The Chrome Extension elevates this by placing a shield icon directly inside ChatGPT, Claude, and Gemini's chat boxes, letting you redact prompts and restore the original details in-place automatically. Running Named Entity Recognition locally ensures that teams can continue leveraging ChatGPT, DeepSeek, and electronic data capture systems for daily queries without any third-party data collection.

Why Pharma Compliance Teams Flag Unmasked AI Prompts

Is PrivacyScrubber safe for pharma AI privacy, FDA 21 CFR Part 11 LLM, clinical trial data anonymization AI, CRO protocol masking, biotech IP protection ChatGPT?

Yes, absolutely. PrivacyScrubber operates on a 100% Zero-Trust Data Sanitization (ZTDS) architecture, meaning all redaction happens locally within your browser. When working with pharma AI privacy, FDA 21 CFR Part 11 LLM, clinical trial data anonymization AI, CRO protocol masking, biotech IP protection ChatGPT, no sensitive data ever leaves your device or touches a cloud server.

How does it handle custom data structures for pharma?

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