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.

NIST

NIST AI RMF PII Controls: Map, Measure, and Govern AI Privacy Risks

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.

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

Managing sensitive workflows for NIST AI RMF PII Controls dictates how modern enterprises approach compliance-safe AI adoption. Deploying services like FedRAMP-authorized AI services and local government systems introduces the severe risk of unredacted PII leaking into public training sets, which directly threatens nist standards. Through our nist AI privacy guides, security leaders get a clear strategy to defend the nist perimeter during AI scaling. The primary issue remains 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. 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.

Privacy Insight: NIST AI RMF's GOVERN 1.1 requires policies for AI data inputs. Most enterprises have no technical mechanism to enforce these policies — employees paste unrestricted data into ChatGPT daily. PrivacyScrubber provides the enforcement layer that turns GOVERN policies into technical reality.

Why NIST Compliance Teams Flag Unmasked AI Prompts

Under NIST 800-53 (PT-2, PT-3) and NIST AI Risk Management Framework (AI RMF), exposing corporate or user records to public neural networks is highly penalized. As organizations bridge this gap, they often look to nist ai rmf for best practices in data minimization. Verifiable compliance requires stopping raw exfiltration at the browser intake interface. Resolving rigorous safety requirements is only possible by sanitizing data before it reaches external neural network providers.

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

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

PrivacyScrubber delivers client-side protection through local Zero-Trust Data Sanitization (ZTDS), operating as a manual copy-paste board and via the PrivacyScrubber Chrome Extension. The in-browser processor automatically maps and replaces identifying information with secure, non-associative tokens (like [NAME_1]) before cloud dispatch. This satisfies the requirements of GDPR alignment, allowing teams to utilize cloud engines without sending raw patient, customer, or employee identities. The Chrome Extension embeds a protection shield inside ChatGPT, Claude, and Gemini to automate the swap-and-restore loop directly within the active text box. 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.

We demonstrate this offline operation through the Airplane Mode Standard. Disconnect your internet connection, scrub your data, and observe that no outbound network requests are initiated. This meets the conditions of Zero-Trust sanitization standards, validating that all client information remains on your local terminal.

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

Verification Protocol

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 (99.2% Accuracy)
Data Egress Rule	Zero-Server Egress (Airplane Mode Verifiable)
Classification Standard	Standard Privacy Guard
Associated Threat Level	Medium (Metadata Leak)

Instant Simulation

NIST AI RMF PII Controls Sanitizer

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

Local processing 0 Server logs

ZTDS_ENGINE_V1.5.0

PROMPT INPUT > Summarize client file: Author Jane Miller (jane.miller@company.com), phone: 555-0182, location: 123 Maple Street.

PROMPT INPUT > Summarize client file: Author [NAME_1] ([EMAIL_1]), phone: [PHONE_1], location: [ADDRESS_1].

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

How to Protect Data for NIST AI RMF PII Controls

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 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

VERIFIABLE WORKFLOW

From Raw NIST 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.

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

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.

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.

What PII controls does NIST AI RMF require?

NIST AI RMF requires organizations to identify PII in training and inference data (MAP function), measure privacy risk exposure (MEASURE function), manage data minimization controls (MANAGE function), and govern AI input/output policies (GOVERN function). PrivacyScrubber satisfies the MANAGE and GOVERN requirements by enforcing PII removal before AI submission.

How do I document NIST AI RMF compliance for AI tool procurement?

Your AI governance documentation should include: (1) a Data Flow Diagram showing PII tokenization occurs before AI API calls, (2) a technical verification showing zero PII in network requests (captured via browser DevTools or Wireshark), and (3) a reference to the ZTDS Diagnostic Bundle generated by PrivacyScrubber for audit purposes.

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 NIST Professionals 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

PrivacyScrubber delivers client-side protection through local Zero-Trust Data Sanitization (ZTDS), operating as a manual copy-paste board and via the PrivacyScrubber Chrome Extension. The in-browser processor automatically maps and replaces identifying information with secure, non-associative tokens (like [NAME_1]) before cloud dispatch. This satisfies the requirements of GDPR alignment, allowing teams to utilize cloud engines without sending raw patient, customer, or employee identities. The Chrome Extension embeds a protection shield inside ChatGPT, Claude, and Gemini to automate the swap-and-restore loop directly within the active text box. 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 RMF PII, AI risk management framework privacy, govern AI PII exposure, federal AI compliance tool, NIST AI data masking?

Yes, absolutely. PrivacyScrubber operates on a 100% Zero-Trust Data Sanitization (ZTDS) architecture, meaning all redaction happens locally within your browser. When working with NIST AI RMF PII, AI risk management framework privacy, govern AI PII exposure, federal AI compliance tool, NIST AI data masking, 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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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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