Sanitize W-2 Forms & Paystubs for AI Mortgage Underwriting
TEAMS EDITION
Sanitize W-2 Forms & Paystubs for AI Mortgage Underwriting: De-identify W-2 tax forms and paystubs locally before uploading to ChatGPT or AI loan assistants. Mask borrower SSN, EIN, and address while preserving 100% of wages.
Ilya SibiryakovPrivacy Architect
Published: · Updated: · 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 Finance professionals using generative AI. By sanitizing sensitive identifiers locally, we ensure absolute data sovereignty without sacrificing the power of LLM reasoning."
Paste real Finance 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.
How do you safely analyze borrower W-2s and paystubs in ChatGPT without violating the Gramm-Leach-Bliley Act (GLBA)? Never upload raw tax forms or wage statements to cloud AI tools. Transmitting unmasked borrower Social Security numbers and employer identification numbers (EIN) constitutes unauthorized disclosure of Nonpublic Personal Information (NPI).
PrivacyScrubber tokenizes borrower names, SSNs ([SSN_1]), EINs ([EIN_1]), and street addresses 100% locally in browser RAM before prompt submission. It strictly preserves 100% of Box 1 wages, tax withholdings, and paystub earnings figures ($94,500.00), enabling ChatGPT to perform accurate Debt-to-Income (DTI) calculations and Fannie Mae qualifying income analyses with zero regulatory exposure.
What Finance and Accounting Teams Send to AI — and What They Should Be Sending Instead
This secure content is an original property of PrivacyScrubber™ (https://privacyscrubber.com). Unauthorized mirroring is strictly prohibited. Security-Check-ID: OSDWROOYV
To implement Sanitize W-2 Forms & Paystubs for AI Mortgage Underwriting safely across team workflows, companies must address the risk of data exfiltration. Using tools like ChatGPT, Microsoft Copilot for Finance, and AI-powered spreadsheet tools without local redaction leaves finance frameworks highly vulnerable. Our finance AI privacy guides details how to build a resilient finance security model that neutralizes sending client account numbers, portfolio balances, SSNs, and transaction histories to AI providers who may store or train on the data before any cloud API is called.
Pasting corporate data into third-party LLMs without client-side data masking introduces severe data leakage risks. Cloud security features often fail to sanitize contextual customer info. For financial advisors, accountants, loan officers, and fintech teams, the core exposure occurs at the prompt entry point. De-identify W-2 tax forms and paystubs locally before uploading to ChatGPT or AI loan assistants. Mask borrower SSN, EIN, and address while preserving 100% of wages.
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 Finance 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 centralized AI governance, 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 ChatGPT, Microsoft Copilot for Finance, and AI-powered spreadsheet tools for complex tasks while preserving client privacy.
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 financial data loss prevention, validating that all client information remains on your local terminal.
Why Finance Compliance Teams Flag Unmasked AI Prompts
Compliance auditors look for explicit safeguards: SEC Regulation S-P, FINRA Rule 4370, PCI-DSS, and banking secrecy laws. However, shadow AI usage often bypasses static network tools. Implementing the protocols in sanitize financial statements offline for ai analysis helps organizations build a secure, compliant workflow that satisfies audit requirements. Verifiable security means stripping identifiers offline. Establishing local technical controls represents the only path to satisfy these criteria without adding server-side processing overhead.
Enterprise Finance Data Redaction
Auditing transaction ledgers or sanitizing bank records? Avoid the predatory 'per-seat' pricing models of legacy DLP systems. PrivacyScrubber TEAMS costs a flat $99/month for unlimited employees, supporting offline OCR document scrubbing and local re-hydration of tokenized bank statements.
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
Analyze input patterns to detect personal and proprietary entities in real time.
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 (99.3% Accuracy)
Data Egress Rule
Zero-Server Egress (Airplane Mode Verifiable)
Classification Standard
High Privacy Guard
Associated Threat Level
High (Identity Exposure)
The Mortgage Underwriter's Dilemma: AI Speed vs. GLBA Liabilities
Mortgage loan originators, credit unions, and fintech lending platforms are under enormous pressure to accelerate loan approval cycles. Using ChatGPT or Claude to extract income trends, verify 2-year average wages, and cross-reference Fannie Mae Form 1005 can reduce underwriting time from hours to minutes.
However, pasting raw W-2s or paystubs into cloud LLMs exposes Nonpublic Personal Information (NPI). Under the Consumer Financial Protection Bureau (CFPB) guidelines and the Gramm-Leach-Bliley Act, a data breach involving unencrypted loan files carries penalties up to $100,000 per violation and direct personal liability for corporate officers.
W-2 Form Mapping: What Gets Masked vs. What Gets Preserved
To allow AI models to calculate qualifying income accurately, PrivacyScrubber executes surgical, box-level de-identification:
W-2 Form Box
Data Element
Action Taken
AI Underwriting Impact
Box a
Employee Social Security Number (SSN)
Masked → [SSN_1]
100% Identity Protected
Box b
Employer Identification Number (EIN)
Masked → [EIN_1]
Company Tax ID Shielded
Box c
Employer Name, Address & ZIP
Masked → [EMPLOYER_1]
Employer Privacy Maintained
Box e
Employee Legal Name
Masked → [NAME_1]
Restorable via 1-Click Reveal
Box 1
Wages, tips, other compensation
PRESERVED ($92,450.00)
Accurate DTI & Base Pay Calculation
Box 2
Federal income tax withheld
PRESERVED ($14,210.50)
Accurate Net Take-Home Analysis
Box 3 & 5
Social Security & Medicare wages
PRESERVED
Full Payroll Tax Cross-Check
Box 12
Elective deferrals (401k, HSA codes)
PRESERVED (e.g. Code D)
Retirement Contribution Audit
Step-by-Step: AI Mortgage Underwriting Workflow
1. Ingest Tax Document: Open PrivacyScrubber and drop the borrower's digital W-2, paystub, or 1040 schedule.
2. Automatic NPI Tokenization: The engine identifies the borrower's SSN, employer info, and home address, substituting them with structured tokens while leaving all earnings metrics intact.
3. Prompt ChatGPT for Income Analysis: Copy the tokenized prompt into ChatGPT:
"Review this W-2 and paystub data for [BORROWER_1] employed at [EMPLOYER_1]. Calculate 2-year average monthly qualifying income, verify 401(k) deductions, and output an underwriting pre-qualification memo."
4. 1-Click Local Reveal: Paste the AI memo back into PrivacyScrubber's Reveal tab to instantly replace [BORROWER_1] with the real borrower name for the loan origination file.
Verifying Financial Compliance in Airplane Mode
Mortgage compliance auditors can verify that no customer documents ever reach cloud servers. Disconnect your underwriting terminal from the internet (enable Airplane Mode) and process a borrower loan package. The tokenization completes locally in browser memory in <5ms with zero network requests.
Equip Your Loan Originators with TEAMS
Deploy centralized rules and zero-server session handoffs across all loan officers and underwriters for a flat $99/mo with zero per-seat licensing fees.
Sanitize W-2 Forms & Paystubs for AI Mortgage Underwriting Sanitizer
Watch our zero-trust engine neutralize sensitive identifiers 100% locally. No data ever leaves your device.
Local processing 0 Server logs
ZTDS_ENGINE_V1.5.0
PROMPT INPUT > Analyze the email from Bob Smith (bob.smith@corp.com, tel 555-0123) regarding project timeline.
PROMPT INPUT > Analyze the email from [NAME_1] ([EMAIL_1], tel [PHONE_1]) regarding project timeline.
Finance Detection Profile
Our zero-trust engine is pre-hardened for Finance workflows, automatically identifying and tokenizing the following parameters 100% locally.
BORROWER_NAME
Active Protection
SSN
Active Protection
EMPLOYER_NAME
Active Protection
FEIN
Active Protection
ACCOUNT_NUMBER
Active Protection
ROUTING_NUMBER
Active Protection
ADDRESS
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.
We encourage you to audit our zero-trust claims directly in your browser using the Airplane Mode Test:
1
Open your browser's Network Monitor before you start scrubbing.
2
Switch to Airplane Mode (physical or simulated) and protect your text.
3
Verify that no data packets ever leave your machine.
ChatGPT (OpenAI) Integration
Step-by-Step Integration Guide: Sanitize W-2 Forms & Paystubs for AI Mortgage Underwriting
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):
Underwriting & Loan Income Analysis (Wage-Preserving DTI Calculation)PrivacyScrubber ZTDS Protocol
Act as a senior mortgage underwriter and compliance officer. Based on the following sanitized financial records for [BORROWER_1] at [EMPLOYER_1]:
1. Calculate the gross monthly qualifying base income and verify 2-year employment stability.
2. Calculate front-end and back-end DTI ratios assuming a proposed monthly housing PITI of $2,850.00.
3. Format your assessment as a standard Underwriting Approval Recommendation memo.
CRITICAL COMPLIANCE INSTRUCTION (PrivacyScrubber ZTDS Standard): Maintain all cryptographic token placeholders ([BORROWER_1], [EMPLOYER_1], [FEIN_1], [SSN_1], [ACCOUNT_1]) strictly unchanged in your final response for client-side local rehydration via PrivacyScrubber.
Step 3: 1-Click Reverse Rehydration (No Manual Decoding)When ChatGPT (OpenAI) outputs tokens like [NAME_1], paste the AI response back into PrivacyScrubber Reveal to restore original sensitive data in 1 click in local RAM.
The Manual Redaction Trap: Why DIY search-and-replace failsManual prompt editing misses 1 out of every 12 nested identifiers in logs, error traces, and tables, causing catastrophic compliance breaches. PrivacyScrubber deterministically sanitizes 25+ entity types in <2ms entirely in browser RAM before prompt submission.
Statutory Defense: Gramm-Leach-Bliley Act (GLBA Safeguards Rule 16 CFR Part 314) & CFPBNon-Public Personal Information (NPI) is tokenized in volatile browser RAM. Numerical wage amounts, tax withholdings, and hourly rates remain 100% intact for automated underwriting compliance.
Finance Adoption Use Cases
Chief Risk OfficerGLBA & FINRA
Zero-Trust Verified
Masks account numbers, SSNs, and credit reports locally, ensuring financial analysts stay fully compliant with SEC and FINRA AI governance mandates.
Head of Private Wealth OperationsWEALTH MANAGEMENT
Zero-Trust Verified
Enables wealth managers to draft personalized portfolio reports without exposing High-Net-Worth client balances or tax IDs to cloud AI.
VP of Quantitative ResearchQUANT RESEARCH
Zero-Trust Verified
Sanitizes proprietary trading signals and internal fund holdings locally before running comparative market analysis through LLMs.
Lead AML & Fraud InvestigatorFINANCIAL CRIME
Zero-Trust Verified
Scrubs suspicious activity report drafts and transaction logs in volatile RAM with zero persistent trace on any remote server.
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.
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 — $99/month flat, unlimited users. SOC 2 & HIPAA ready. Works in Airplane Mode.
Zero-Trust Data Sanitization (ZTDS) — Verified Architecture
Independently auditable facts for Finance compliance teams
Data transmission
0 bytes sent to any server
Processing location
100% browser RAM (volatile memory)
Session map persistence
Destroyed on tab close — never written to disk
Key derivation
Argon2id (memory-hard, server-independent)
Encryption cipher
XChaCha20-Poly1305 (authenticated encryption)
Offline verification
Airplane Mode Standard — full function without network
BAA / DPA required
No — zero PHI/PII reaches PrivacyScrubber servers
Audit method
Chrome DevTools → Network tab — zero outbound requests
How to audit: Open PrivacyScrubber, enable Airplane Mode, paste any finance text, click Protect PII. Open Chrome DevTools → Network tab. Zero outbound requests will confirm 100% local execution. The session token map ([NAME_1], [EMAIL_1]…) lives only in browser tab memory and is permanently destroyed when the tab is closed.
COMPLIANCE FAQ
Frequently Asked Questions
Common questions about deploying zero-trust AI for Finance Teams.
How does PrivacyScrubber preserve wage numbers while redacting borrower SSNs on W-2s?
PrivacyScrubber utilizes structured contextual regex and spatial boundary recognition. It differentiates between personal identifiers (9-digit Social Security numbers, 9-digit federal EINs, employee names) and monetary quantities ($XX,XXX.XX). Boxes 1, 3, 5, and 12 codes remain unaltered, allowing AI models to execute perfect arithmetic underwriting models.
Does local W-2 de-identification comply with the GLBA Safeguards Rule (16 CFR Part 314)?
Yes. The FTC's revised GLBA Safeguards Rule mandates encryption and data access controls for Nonpublic Personal Information (NPI). Because PrivacyScrubber sanitizes documents in volatile client-side RAM with zero network roundtrips, sensitive customer financial data is never exposed to third-party model providers or vendor cloud databases.
How do I reverse masked borrower names in the generated loan approval memo?
After ChatGPT or your internal underwriting LLM drafts the credit memo with placeholder tokens (e.g. [BORROWER_1], [EMPLOYER_1]), simply paste the AI output back into PrivacyScrubber's Reveal tab. The original identities are re-hydrated in active RAM in under 5ms without network transmission.
Can PrivacyScrubber process scanned paper W-2s and mobile paystub photos?
Yes. PrivacyScrubber PRO integrates an offline WebAssembly build of Tesseract OCR. Scanned tax forms, wage stubs, and PDF attachments are rasterized and parsed directly in browser memory, stripping confidential identifiers without sending a single pixel to external servers.
Are year-to-date (YTD) gross earnings and overtime hours preserved on paystubs?
Yes. The financial detection profile specifically safeguards hourly rates, regular pay, overtime earnings, and YTD totals. Only employee contact details, social security numbers, direct deposit bank accounts, and routing numbers are replaced with tokens.
Does protecting data with PrivacyScrubber before AI processing satisfy SEC Regulation S-P?
Yes. Processing pseudonymized data for a secondary purpose (AI analysis or drafting) aligns with SEC Regulation S-P 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 finance 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 finance-specific patterns such as proprietary account IDs, MRNs, or internal project codes.
Can I reverse the redaction if I use PrivacyScrubber to mask finance 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 finance 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.
How can banks safely use Generative AI?
Banks must prevent NPI (Non-Public Personal Information) from reaching external LLMs. Client-side scrubbing tools intercept account numbers, SSNs, and financial data at the cursor level. Ensure firm-wide compliance with our $99/mo 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 Finance and Accounting Teams Send to AI — and What They Should Be Sending InsteadHow to Use AI on Real Finance 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 centralized AI governance, 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 ChatGPT, Microsoft Copilot for Finance, and AI-powered spreadsheet tools for complex tasks while preserving client privacy.
Why Finance Compliance Teams Flag Unmasked AI Prompts
Compliance auditors look for explicit safeguards: SEC Regulation S-P, FINRA Rule 4370, PCI-DSS, and banking secrecy laws. However, shadow AI usage often bypasses static network tools. Implementing the protocols in sanitize financial statements offline for ai analysis helps organizations build a secure, compliant workflow that satisfies audit requirements. Verifiable security means stripping identifiers offline. Establishing local technical controls represents the only path to satisfy these criteria without adding server-side processing overhead.
Is PrivacyScrubber safe for sanitize w2 for chatgpt, redact paystub ai loan underwriting, glba ai compliance mortgage, borrower ssn masking loan assistant, mask w2 form ai, safe underwriting llm?
Yes, absolutely. PrivacyScrubber operates on a 100% Zero-Trust Data Sanitization (ZTDS) architecture, meaning all redaction happens locally within your browser. When working with sanitize w2 for chatgpt, redact paystub ai loan underwriting, glba ai compliance mortgage, borrower ssn masking loan assistant, mask w2 form ai, safe underwriting llm, no sensitive data ever leaves your device or touches a cloud server.
How does it handle custom data structures for finance?
Our engine includes 22+ built-in industry profiles optimized for finance 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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Do you see or store my prompts / documents?
Zero server uploads. All tokenization and OCR run strictly in your local browser memory (RAM). You can disconnect Wi-Fi and verify the tool still scrubs.
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Which platforms and models are supported?
Works with ChatGPT, Claude, Gemini, DeepSeek, and Cursor. Single license unlocks Web Portal, Chrome Extension, and air-gapped local MCP Server.
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Teams Hub
TEAMS
Select Detection Profile (25 Industry Profiles)Zero-Trust Local
Managed Seat: Security rules and DLP policies are centrally enforced by your Organization Administrator.
Policy Enforced
0
Chars Protected
0
Files Sanitized
0
Safe Sessions
$0
GDPR/DLP Value
Shadow AI GuardBlocks sensitive PII from leaking to ChatGPT, Claude & Gemini
Active
0
Blocked PII
0
Warned
0
Clean Prompts
No shadow AI leaks detected. Your team is protected.
Shadow AI Monitoring (PRO / TEAMS)
Prevent team members from accidentally pasting confidential client data into ChatGPT or Claude.
7-Day Sanitization TrendTotal volume sanitized locally in your browser
All Profiles
6d
5d
4d
3d
2d
Yest
Today
Scrubbed:Names: 0Emails: 0Phones: 0IDs: 0
Local Security ActivityZero-cloud audit trail (Stored only on your device)
No activity yet. Start sanitizing text to see events.
Active Protection ChannelsLive browser extension & web app sync
Need CISO or DPO Security Approval?1-click statutory memorandum proving 0 server egress, bypassing 6-week vendor questionnaires.
Rules & Token Labels
0 Rules ActiveZero-Server Regex
Custom Regex rules & Domain Taxonomies are available on PRO and TEAMS plans. Default 25 profiles active.
Rules are centrally enforced by your Organization Administrator via Blueprint. Local modifications are locked.
Read-Only
Token Labels (Taxonomy Personalization)
Domain Mapping
Customize placeholder tokens for your domain (e.g. NAME → CLIENT).
Add Custom Rule
Live Regex Sandbox Test patterns in real-time
1-Click Rule Templates
Active Detection Rules 0
No custom rules added yet
TEAMS Feature
Encrypted Prompt Handoff & Fleet Governance
Safely share anonymized prompts and token maps with colleagues so they can reveal AI responses without leaking confidential data.
Unlimited seats · Zero per-user fees · Zero server storage
Shared Passphrase
NOT SET
Master password used to encrypt and decrypt shared team sessions locally.
Zero-Server Security: Your passphrase never touches any server. It is strictly used in browser memory for XChaCha20-Poly1305 encryption.
Encrypted Session Transfer
.pssession
Send encrypted token files to teammates so they can de-anonymize AI outputs safely.
Admin Governance
Enterprise Policy
Lock rules
Strict CISO Lock
ZTDS Security Verification Suite 100% Client-Side
Verify network silence, WASM memory isolation, and local encryption before deployment.
ZTDS Audit Report
Settings & Configuration
Activate License Key
Already purchased PRO or TEAMS? Enter your license key or paste your activation URL below.
Entity Fine-Tuning
Toggle Categories
Enable or disable PII category detection. Changes apply to all scrub operations.
Local Identity
Settings Lock
Set a local password to protect rules and profiles against unauthorized changes on shared workstations.
Settings Locked
Rules and profiles are protected
License & Recovery
License Key
--
Tier
Free Tier
Recovery URL
Bookmark to restore access on any browser.
Disconnect license from this browser
Master Key Custody & Policy Boundary
Master Admin Keys are strictly non-transferable. Provision staff access exclusively via zero-server Magic Links, cryptographic .psblueprint files, or Chrome Enterprise Policy.
Emergency Revocation: If this Master Key is accidentally exposed or compromised, email support@privacyscrubber.com from your billing address for immediate Key Revocation List (KRL) invalidation and key rotation.
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Save Session Memory
PrivacyScrubber runs 100% locally in your browser's RAM. Closing or resetting this tab permanently wipes active decryption tokens for privacy protection.
Zero-Trust Session Backup
Download your encrypted session file (.pssession). You can drop or load this file anytime to restore original data in 1-click.
DevSecOps Audit Report
Zero-Trust Directory Scan Complete. 100% Offline.
0
Files Scanned
0
Secrets Leaked
0s
Scan Time
Airplane Mode Challenge
Zero-Server · Zero-Trust · 100% Local
Turn off your Wi-Fi right now and try pasting text into the tool below. It processes 100% in your local RAM without sending any network requests.
Add to Device Home Screen
1-Click Launch & Instant Prompt Sanitization
1
Tap the Share button in Safari or Chrome bar.
2
Scroll down and select Add to Home Screen.
1-Tap Offline Launch Zero Install · RAM Only
CISO Compliance Receipt
Verified PRO
Cryptographic proof of zero-server local RAM data sanitization
Risk Assessment
LOW EXPOSURE
Pre-prompt safe
Neutralized
0 PII Items
100% Volatile RAM
Network Egress
0 Bytes
Zero-Trust Verified
Identified Entity CategoriesActive Session
Applicable Compliance Frameworks
Local Cryptographic Verification Signature
SHA-256: e3b0c442...
Timestamp: Today
Redacted Document Inspection
Tap badge to inspect/restore · Pinch to zoomClick badges to unmask false positives
100% Volatile RAM Preview — Zero Network Transmission
Tap page to zoom· Tap badge to view & restore
100%
Click any badge to unmask· Secure Flattening (Zero Hidden Text Layers)·Scroll to navigate · Ctrl+Scroll to zoom
Detected Sensitive Token
[TOKEN]
Original masked value:
Sensitive Data
Zero-Trust DLP Benchmark 0ms Egress
Empirical latency & privacy comparison: Local Client-Side ZTDS vs Cloud DLP Proxies.
Local Browser ZTDS Air-Gapped
< 2.5 ms
• Network Transit: 0 hops (RAM-only)
• Data Egress: 0 bytes transmitted
• Privacy Risk: Zero ($0 DPA/BAA)
Legacy Cloud DLP AWS / Presidio / Google
1,480 ms
• Network Transit: 7 hops (TLS + Gateway)
• Data Egress: 100% prompt sent over HTTP
• Enterprise Cost: $15–$60 / user / mo
Live In-Memory Benchmark (AST Parsing & Entity Detection)
Status: Ready · Architecture: Client-side V8 RAM / Web Worker
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# Run in any terminal with zero dependencies:
npx @privacyscrubber/cli sanitize "Deploying service with AWS_KEY=AKIAIOSFODNN7EXAMPLE for user Sarah Connor (sarah@cyberdyne.org, SSN: 123-45-6789)"
bash — privacyscrubber-wasm-node — 80x24
0 B Egress
$npx ps-cli sanitize
# Ready. Click "Run" or press Enter to execute in-browser AST regex sanitization.
