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.

NIST

NIST AI RMF: Mapping Zero-Trust Sanitization to the Risk Management Framework

Align your AI deployments with the NIST AI Risk Management Framework (AI RMF 1.0). Map Govern, Map, Measure, and Manage functions to ZTDS endpoint controls. 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 NIST professionals using generative AI. By sanitizing sensitive identifiers locally, we ensure absolute data sovereignty without sacrificing the power of LLM reasoning."

Paste real NIST 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 NIST 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 Security Compliance Teams Send to AI — and What They Should Be Sending Instead

Achieving enterprise data protection for NIST AI RMF is a foundational requirement for AI adoption. As organizations integrate FedRAMP-authorized AI services and local government systems, the liability of unmanaged PII exfiltration to public LLM datasets represents a critical risk to nist standing. Our nist AI privacy guides provide the technical roadmap for maintaining the nist perimeter while leveraging GenAI. The core vulnerability: federal agency non-compliance with PII minimization mandates when utilizing commercial LLMs.

Pasting compliance-critical data into public chatbots without prior tokenization exposes sensitive nist assets to downstream leakages. Cloud-based safety toggles are inadequate to secure the data flow. For federal CISO, government contractors, and agency IT managers, real-time input sanitization is required to stop leaks. Align your AI deployments with the NIST AI Risk Management Framework (AI RMF 1.0). Map Govern, Map, Measure, and Manage functions to ZTDS endpoint controls. Includes Flat-rate TEAMS pricing and Zero-server architecture.

Privacy Insight: NIST AI RMF 1.0 establishes four core functions: GOVERN, MAP, MEASURE, and MANAGE. PrivacyScrubber operates as a technical enforcement mechanism across all four, keeping raw PII completely out of the AI risk surface.

Why NIST Compliance Teams Flag Unmasked AI Prompts

The regulatory mandates governing nist are uncompromising: NIST 800-53 (PT-2, PT-3) and NIST AI Risk Management Framework (AI RMF). Unfortunately, security tooling rarely matches the speed of shadow AI usage. Mitigating this risk requires adopting the guidelines in nist 800-53 ai data minimization to ensure sensitive information does not end up inside third-party models. The only reliable approach is stripping identifying details at the browser level. Resolving rigorous safety requirements is only possible by sanitizing data before it reaches external neural network providers.

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 NIST 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 GDPR alignment, 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. Running Named Entity Recognition locally ensures that teams can continue leveraging FedRAMP-authorized AI services and local government systems for daily queries without any third-party data collection.

This zero-transmission architecture is independently auditable via our Airplane Mode Standard. By disconnecting your network and running a full scrub-and-restore cycle, you verify that no outbound packets are transmitted. This aligns with Zero-Trust sanitization standards for hardened nist security: local execution is the primary safeguard for AI data privacy.

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

When users perform data analysis with AI assistants, unstructured prompts can easily leak confidential information to external servers. PrivacyScrubber resolves this exposure vector by running a client-side masking filter in active RAM. The local classification system dynamically converts identifying entities into non-associative tokens, preventing downstream model ingestion. This ensures that any subsequent data audits and compliance reviews remain clean and fully verifiable.

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 (99.3% Accuracy)
Data Egress Rule	Zero-Server Egress (Airplane Mode Verifiable)
Classification Standard	High Privacy Guard
Associated Threat Level	High (Identity Exposure)

NIST AI RMF 1.0 Compliance Architecture

The NIST Artificial Intelligence Risk Management Framework (AI RMF 1.0) provides a voluntary standard for organizations deploying AI systems. Managing privacy risks (under MANAGE and GOVERN functions) requires practical controls to minimize PII exposure in LLM pipelines, supplementing the GDPR compliance framework.

Framework Core Alignment

OWASP LLM Top 10 mitigation strategies and the AI Governance Playbook confirm that PrivacyScrubber aligns directly with the NIST AI RMF core sub-functions:

GOVERN 1.2: Promotes a culture of risk management by enforcing corporate AI policies dynamically.
MAP 1.5: Tracks and classifies PII leakage vectors at the client workstation prior to egress.
MEASURE 2.6: Quantifies masked entity counts via browser-local statistics.
MANAGE 1.5: Enforces active PII masking, preventing data spillages into public LLMs.

Instant Simulation

NIST AI RMF 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 candidate John Doe's records. Contact: john.doe@gmail.com | Phone: 555-0149 | SSN: 902-11-4482.

PROMPT INPUT > System task: process candidate [NAME_1]'s records. Contact: [EMAIL_1] | Phone: [PHONE_1] | SSN: [SSN_1].

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 Zero-Trust sanitization standards.

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

Step-by-Step Integration Guide: NIST AI RMF

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 & 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 text, clinical note, brief, or statement for NIST AI RMF.
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 & 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 NIST

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

Open PrivacyScrubber or the Chrome Extension. Paste your real NIST AI RMF 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:

[CLIENT_NAME][CASE_NUMBER][JUDGE][PLAINTIFF][SETTLEMENT_AMOUNT]

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.

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)

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

NIST 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.

Add the Free Extension for NIST

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 NIST 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 nist 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 NIST Teams.

How does PrivacyScrubber satisfy NIST AI RMF GOVERN requirements?

GOVERN requires policies, processes, and procedures to manage AI risks. By deploying PrivacyScrubber, organizations implement a verifiable technical control that enforces compliance with internal AI policies automatically.

Does NIST AI RMF require local data scrubbing?

It doesn't mandate a specific technical solution, but it requires organizations to manage data privacy and minimization risks (MANAGE 1.5). Endpoint sanitization is the most direct and cost-effective way to achieve this.

Does protecting data with PrivacyScrubber before AI processing satisfy NIST 800-53 (PT-2?

Yes. Processing pseudonymized data for a secondary purpose (AI analysis or drafting) aligns with NIST 800-53 (PT-2 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 nist 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 nist-specific patterns such as proprietary account IDs, MRNs, or internal project codes.

Can I reverse the redaction if I use PrivacyScrubber to mask nist 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 nist 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 Security Compliance Teams Send to AI — and What They Should Be Sending Instead

Why NIST Compliance Teams Flag Unmasked AI Prompts

How to Use AI on Real NIST 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 GDPR alignment, 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. Running Named Entity Recognition locally ensures that teams can continue leveraging FedRAMP-authorized AI services and local government systems for daily queries without any third-party data collection.

Is PrivacyScrubber safe for NIST AI Risk Management Framework, NIST AI RMF mapping, enterprise AI governance, NIST AI RMF compliance?

Yes, absolutely. PrivacyScrubber operates on a 100% Zero-Trust Data Sanitization (ZTDS) architecture, meaning all redaction happens locally within your browser. When working with NIST AI Risk Management Framework, NIST AI RMF mapping, enterprise AI governance, NIST AI RMF compliance, no sensitive data ever leaves your device or touches a cloud server.

How does it handle custom data structures for nist?

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

NIST Hub

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Implement NIST 800-53 PT-2 and PT-3 privacy controls for AI and LLM workflows using local data minimization before prompt submission. Includes Flat-rate TEAMS pricing and Zero-server architecture.

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Apply the NIST Privacy Framework to enterprise AI deployments. Map Identify, Govern, Control, Communicate, and Protect functions to zero-trust LLM workflows. Includes Flat-rate TEAMS pricing and Zero-server architecture.

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NIST AI RMF PII Controls

Implement NIST AI Risk Management Framework controls for PII in enterprise AI systems. Govern data flows, measure exposure, and enforce zero-trust sanitization. Includes Flat-rate TEAMS pricing and Zero-server architecture.

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