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

HIPAA De-identification for AI: Expert Determination vs Safe Harbor for LLMs

Compare HIPAA Expert Determination and Safe Harbor de-identification methods for AI workflows. Apply Safe Harbor locally to enable compliant ChatGPT use in healthcare. Includes Flat-rate TEAMS pricing and Zero-server architecture.

Ilya SibiryakovPrivacy Architect

Published: August 15, 2026 · Updated: August 15, 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 HIPAA professionals using generative AI. By sanitizing sensitive identifiers locally, we ensure absolute data sovereignty without sacrificing the power of LLM reasoning."

Paste real HIPAA 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 HIPAA 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 INTAKE > Patient: James Wilson, DOB: 04/12/1982 MRN: HOSP-88219 | Insurance: AETNA-004481 Dx: Hypertension. Referred to Dr. Lisa Ray.

CLINICAL INTAKE > Patient: [NAME_1], DOB: [DATE_1] MRN: [MRN_1] | Insurance: [ID_1] Dx: Hypertension. Referred to Dr. [NAME_2].

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

Achieving "HIPAA De-identification for AI: Expert Determination vs Safe Harbor for LLMs" is a foundational requirement for enterprise AI adoption. As organizations integrate EPIC, Cerner, and clinical AI assistants, the liability of unmanaged PII exfiltration to public LLM datasets represents a critical risk to hipaa standing. Our hipaa AI privacy guides provide the technical roadmap for maintaining the hipaa perimeter while leveraging GenAI. The core vulnerability: criminal and civil liability for exposing Protected Health Information (PHI) to non-BAA AI providers.

Every prompt delivered to a third-party AI provider carrying regulated hipaa records or attempting "HIPAA de-identification AI" tasks constitutes a potential compliance violation. Standard API safety switches are insufficient for the granular audit requirements of hipaa. For healthcare providers, medical researchers, and healthtech developers, the exposure vector is the raw input stream. Compare HIPAA Expert Determination and Safe Harbor de-identification methods for AI workflows. Apply Safe Harbor locally to enable compliant ChatGPT use in healthcare. Includes Flat-rate TEAMS pricing and Zero-server architecture.

Privacy Insight: HIPAA offers two de-identification methods: Expert Determination (statistical certification by a qualified statistician) and Safe Harbor (removal of 18 specific identifiers). Expert Determination costs $15,000–$50,000 per engagement. Safe Harbor can be implemented instantly and for free using PrivacyScrubber’s local HIPAA profile, which removes all 18 identifiers before AI submission.

Why HIPAA Compliance Teams Flag Unmasked AI Prompts

The regulatory mandates governing hipaa are uncompromising: HIPAA Privacy Rule and Safe Harbor De-identification standards. Unfortunately, security tooling rarely matches the speed of shadow AI usage. Mitigating this risk requires adopting the guidelines in hipaa baa vs local pii redaction for ai to ensure sensitive information does not end up inside third-party models. The only reliable approach is stripping identifying details at the browser level. Establishing technical controls for HIPAA de-identification AI represents the only path to satisfy these criteria without adding server-side processing.

With local Zero-Trust Data Sanitization, PrivacyScrubber intercepts data in the browser through our Secure Workspace or the PrivacyScrubber Chrome Extension.

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

With local Zero-Trust Data Sanitization, PrivacyScrubber intercepts data in the browser through our Secure Workspace or the PrivacyScrubber Chrome Extension. The Named Entity Recognition (NER) system replaces personal data markers with standardized tokens (such as [NAME_1]) in local memory. This design conforms with the standards in offline compliance auditing, ensuring that cloud platforms only analyze sanitized text. The Chrome Extension automates this workflow by adding a quick protect toggle inside ChatGPT, Claude, and Gemini for instant inline sanitization and detokenization. Processing data through browser-based Named Entity Recognition allows safe integration of EPIC, Cerner, and clinical AI assistants for "HIPAA de-identification AI" tasks while preserving client privacy.

We back this zero-egress architecture with the Airplane Mode Standard. Users can disconnect from the internet and run the scrubbing routine locally to verify that no network requests are dispatched. This meets the criteria for enterprise privacy frameworks, proving that local-first execution is the ultimate shield for enterprise 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.

Upgrade to PRO Deploy TEAMS

Zero-Trust Configuration & Threat Model

Deploying local data controls for HIPAA de-identification AI is critical when routing inputs to external platforms like EPIC, Cerner, and clinical AI assistants. To safeguard user context, PrivacyScrubber isolates individual records by tokenizing key 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 5ms. This allows team members to run complex queries involving Safe Harbor Expert Determination ChatGPT while satisfying strict internal data security requirements.

Verification Protocol

Analyze input patterns to detect references to HIPAA de-identification AI.
Apply local Named Entity Recognition to tokenize primary identifiers.
Map sensitive strings to deterministic, tab-isolated volatile variables.
Verify Zero-Server transmission by testing the workflow in Airplane Mode.

Parser Specifications

Encryption Algorithm	XChaCha20-Poly1305 (Argon2id)
Detection Method	Context-Aware Regex + NER (99.6% Accuracy)
Data Egress Rule	Zero-Server Egress (Airplane Mode Verifiable)
Classification Standard	Standard Privacy Guard
Associated Threat Level	Medium (Metadata Leak)

Instant Simulation

HIPAA De-identification for AI 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 > System task: process John Doe's records for HIPAA de-identification AI. Contact him at john.doe@gmail.com or call 555-0149.

PROMPT INPUT > System task: process [NAME_1]'s records for HIPAA de-identification AI. Contact him at [EMAIL_1] or call [PHONE_1].

HIPAA Detection Profile

Our zero-trust engine is pre-hardened for HIPAA 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 enterprise privacy frameworks.

Hardware-Level Verification

We encourage you to audit our zero-trust claims for HIPAA de-identification AI 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

How to Protect Data for HIPAA De-identification for AI

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 (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 prompt or text containing sensitive details of HIPAA De-identification for AI.
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 (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 HIPAA

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 HIPAA Data to Clean AI Prompt

3 Steps, 30 Seconds, Zero Server Hops.

Open PrivacyScrubber or the Chrome Extension. Paste your real HIPAA De-identification for AI 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 HIPAA De-identification for AI 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

HIPAA 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 HIPAA 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 hipaa 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 HIPAA Teams.

What are the two HIPAA de-identification methods and which is better for AI?

HIPAA §164.514(b) provides two methods: (1) Expert Determination — a qualified statistician certifies the risk of re-identification is very small; and (2) Safe Harbor — all 18 specified PHI identifiers are removed. For AI workflows, Safe Harbor is preferred because it can be implemented instantly with a technical tool like PrivacyScrubber, while Expert Determination requires expensive statistical engagement and cannot be applied per-prompt.

What are the 18 Safe Harbor identifiers I must remove before using AI?

The 18 HIPAA Safe Harbor identifiers including all top 20 corporate PII data types are: (1) Names, (2) Geographic data smaller than state, (3) Dates except year, (4) Phone numbers, (5) Fax numbers, (6) Email addresses, (7) Social Security numbers, (8) Medical record numbers, (9) Health plan beneficiary numbers, (10) Account numbers, (11) Certificate/license numbers, (12) Vehicle identifiers, (13) Device identifiers, (14) URLs, (15) IP addresses, (16) Biometric identifiers, (17) Full-face photographs, (18) Any other unique identifying number. PrivacyScrubber’s HIPAA profile removes all 18 categories locally.

After HIPAA Safe Harbor de-identification, can I use the data freely with any AI tool?

Yes. Once all 18 identifiers including all top 20 corporate PII data types are removed, the remaining data is no longer legally classified as Protected Health Information under HIPAA. You may submit it to ChatGPT, Claude, Gemini, Copilot, or any of the 9 supported AI tools without HIPAA restrictions, without a BAA, and without patient consent for that specific use. PrivacyScrubber's ephemeral session map allows you to restore the original values from the AI response later.

Does protecting data before AI processing satisfy HIPAA Privacy Rule and Safe Harbor De-identification standards?

Yes. Processing pseudonymized data for a secondary purpose (AI analysis or drafting) aligns with HIPAA Privacy Rule and Safe Harbor De-identification standards 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 hipaa use cases?

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 hipaa-specific patterns such as HIPAA de-identification AI.

Can I reverse the redaction if I use PrivacyScrubber to mask hipaa 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 offline for HIPAA de-identification AI?

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 hipaa 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 specifically for HIPAA de-identification AI PII safety?

Yes. In the PRO edition of PrivacyScrubber, you can configure custom regular expression (regex) rules designed to target unique patterns associated with HIPAA de-identification AI and other sector-specific nomenclature. 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 ChatGPT HIPAA compliant?

By default, ChatGPT is not HIPAA compliant unless you sign a BAA with OpenAI and use their Enterprise tier. Alternatively, you can use a local redaction tool like PrivacyScrubber to mask PHI before sending. Deploy PrivacyScrubber TEAMS for $99/mo to secure your entire clinic.

Does PrivacyScrubber require a BAA?

No. PrivacyScrubber processes all data 100% locally on your device and does not act as a data processor, exempting it from BAA requirements. Maintain compliance effortlessly with our TEAMS plan.

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

Why HIPAA Compliance Teams Flag Unmasked AI Prompts

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

With local Zero-Trust Data Sanitization, PrivacyScrubber intercepts data in the browser through our Secure Workspace or the PrivacyScrubber Chrome Extension. The Named Entity Recognition (NER) system replaces personal data markers with standardized tokens (such as [NAME_1]) in local memory. This design conforms with the standards in offline compliance auditing, ensuring that cloud platforms only analyze sanitized text. The Chrome Extension automates this workflow by adding a quick protect toggle inside ChatGPT, Claude, and Gemini for instant inline sanitization and detokenization. Processing data through browser-based Named Entity Recognition allows safe integration of EPIC, Cerner, and clinical AI assistants for "HIPAA de-identification AI" tasks while preserving client privacy.

Is PrivacyScrubber safe for HIPAA de-identification AI, Safe Harbor Expert Determination ChatGPT, HIPAA de-id methods LLM, healthcare AI de-identification, PHI anonymization AI tools?

Yes, absolutely. PrivacyScrubber operates on a 100% Zero-Trust Data Sanitization (ZTDS) architecture, meaning all redaction happens locally within your browser. When working with HIPAA de-identification AI, Safe Harbor Expert Determination ChatGPT, HIPAA de-id methods LLM, healthcare AI de-identification, PHI anonymization AI tools, no sensitive data ever leaves your device or touches a cloud server.

How does it handle custom data structures for hipaa?

Our engine includes 22+ built-in industry profiles optimized for hipaa data. Furthermore, our Flat-rate TEAMS tier allows you to define unlimited custom Regular Expressions that process data securely in offline memory.

HIPAA Hub

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hipaa

HIPAA BAA vs Local PII Redaction for AI

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De-identifying Clinical Trial Data for AI Analysis

Securely use ChatGPT to analyze clinical trial protocols without exposing patient PHI. Learn how local data tokenization meets FDA and HIPAA Safe Harbor requirements. Includes Flat-rate TEAMS pricing and Zero-server architecture.

hipaa

HIPAA Compliant ChatGPT

ChatGPT is NOT HIPAA compliant by default — OpenAI only signs BAAs for Enterprise. Here is the legally defensible workaround using local PHI de-identification. Includes Flat-rate TEAMS pricing and Zero-server architecture.

hipaa

FDA AI Software and PHI

How FDA-regulated AI/ML software as a medical device (SaMD) handles PHI under HIPAA. Technical checklist for client-side PHI de-identification. Includes Flat-rate TEAMS pricing and Zero-server architecture.

hipaa

Browser-Native Inference

Move AI inference directly into the Chrome tab. Learn how combining WebAssembly, WebGPU, and local NER satisfies HIPAA Security Rules without external API liabilities. Includes Flat-rate TEAMS pricing and Zero-server architecture.

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