Zero-Trust Data Sanitization for Model Context Protocol (MCP) Workflows
ENTERPRISE EDITION
Secure Claude Desktop, Cursor, and custom AI agents using Model Context Protocol (MCP). Sanitize sensitive file paths, logs, and database queries locally before model transmission. Includes Flat-rate TEAMS pricing and Zero-server architecture.
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 Agents professionals using generative AI. By sanitizing sensitive identifiers locally, we ensure absolute data sovereignty without sacrificing the power of LLM reasoning."
Paste real Agents 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.
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 Agents Professionals 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: VPYJX9VD5
Managing "Zero-Trust Data Sanitization for Model Context Protocol (MCP) Workflows" is a major technical objective for AI engineers, LLM application developers, and enterprise AI architects. As the adoption of LangChain, LlamaIndex, AutoGPT, CrewAI, and custom RAG infrastructure increases, the risk of corporate data exfiltration to external datasets grows. Our agents AI privacy guides details how to secure the agents perimeter during this transition. The main threat is autonomous agents that accumulate PII across memory, tool calls, and vector store indexes — creating persistent privacy liabilities impossible to manually audit.
When employees submit customer records for "Model Context Protocol security" tasks on cloud-based LLMs, they create unmonitored data trails. Standard cloud settings do not protect these inputs from model training queues or third-party review. For AI engineers, LLM application developers, and enterprise AI architects, the primary point of failure is sending raw prompt text. Secure Claude Desktop, Cursor, and custom AI agents using Model Context Protocol (MCP). Sanitize sensitive file paths, logs, and database queries locally before model transmission. Includes Flat-rate TEAMS pricing and Zero-server architecture.
Privacy Insight: Model Context Protocol connects LLMs to local data. But exposing local files and database structures without sanitization invites silent, massive data leakage. Inserting a local ZTDS layer secures agentic integrations.
Why Agents Compliance Teams Flag Unmasked AI Prompts
Regulatory oversight for the agents sector is explicit: GDPR data minimization principles, NIST AI RMF (Risk Management Framework), and emerging agentic AI governance guidance. However, technical compliance lags behind AI adoption curves. Navigating the data exposure surface often overlaps with secure ai agent memory — identifying how unstructured data becomes a permanent liability in model weights. To achieve verifiable security, you must eliminate the PII before it reaches the cloud. Resolving safety requirements for Model Context Protocol security operations is only possible by sanitizing data before it reaches external providers. To understand similar challenges in related domains, review our analysis on secure ai agent memory.
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 Agents 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 scaling agent architectures, 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 LangChain, LlamaIndex, AutoGPT, CrewAI, and custom RAG infrastructure for "Model Context Protocol security" queries without any third-party data collection. This zero-trust architecture is also highly relevant for teams navigating scaling agent architectures.
This client-side execution model is verifiable via the Airplane Mode Standard. Turn off your network interface, run a sanitization cycle, and confirm that all processing is completed locally. This aligns with agentic data loss prevention, proving that no database or server logs receive unmasked data. See how this methodology translates to other sectors in our guide on agentic data loss prevention.
Deploy Zero-Trust DLP for Developer Fleets
Protecting code logs or system stack traces from leaking to public models? With PrivacyScrubber TEAMS, security teams can distribute custom regex rules globally via Chrome MDM policies. Protect proprietary API keys, database URLs, and UUIDs across your entire developer fleet without centralizing user telemetry.
Deploying local data controls for Model Context Protocol security is critical when routing inputs to external platforms like LangChain, LlamaIndex, AutoGPT, CrewAI, and custom RAG infrastructure. 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 11ms. This allows team members to run complex queries involving MCP PII sanitization while satisfying strict internal data security requirements.
Verification Protocol
Parse unstructured records for key data points concerning MCP PII sanitization.
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 (99.6% Accuracy)
Data Egress Rule
Zero-Server Egress (Airplane Mode Verifiable)
Classification Standard
Standard Privacy Guard
Associated Threat Level
Medium (Metadata Leak)
Model Context Protocol (MCP) Security
Anthropic's Model Context Protocol (MCP) allows local desktop clients (like Claude Desktop) and IDEs (like Cursor) to interact directly with local file systems, databases, and APIs. While this makes AI agents extremely powerful, it also opens a major exfiltration channel if local logs or customer databases are exposed without filtering.
Sanitizing MCP Inputs and Outputs
To protect database records and files exposed via MCP:
The ZTDS MCP Proxy Pattern
Configure your MCP servers to route all file reads and SQL query outputs through a local de-identification script. By replacing customer PII and credentials with tokens *before* they are sent to the LLM agent, your code remains fully searchable while protecting proprietary assets.
Instant Simulation
Zero-Trust Data Sanitization for Model Context Protocol (MCP) Workflows 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 this file regarding Model Context Protocol security. Author: Jane Miller (jane.miller@company.com), phone: 555-0182. Location: 123 Maple Street.
PROMPT INPUT > Summarize this file regarding Model Context Protocol security. Author: [NAME_1] ([EMAIL_1]), phone: [PHONE_1]. Location: [ADDRESS_1].
Agents Detection Profile
Our zero-trust engine is pre-hardened for Agents workflows, automatically identifying and tokenizing the following parameters 100% locally.
USER_ID
Active Protection
AGENT_MEMORY
Active Protection
RAG_CHUNK
Active Protection
CONTEXT_PII
Active Protection
SESSION_TOKEN
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 agentic data loss prevention.
Hardware-Level Verification
We encourage you to audit our zero-trust claims for Model Context Protocol security 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.
Claude (Anthropic) Integration
How to Protect Data for Zero-Trust Data Sanitization for Model Context Protocol (MCP) Workflows
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 Claude (Anthropic):
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 Zero-Trust Data Sanitization for Model Context Protocol (MCP) Workflows.
Click Protect PII. Sensitive data is instantly swapped for secure placeholders (e.g., [NAME_1]).
Submit the sanitized prompt to Claude (Anthropic).
Paste the AI's answer into the Reveal Originals box to instantly restore the original values.
From Raw Agents Data to Clean AI Prompt — 3 Steps, 30 Seconds, Zero Server Hops
Open PrivacyScrubber or the Chrome Extension. Paste your real Zero-Trust Data Sanitization for Model Context Protocol (MCP) Workflows text. What reaches ChatGPT looks like this: [NAME_1][EMAIL_1]. Your original data stays local the entire time.
1
Step 1: Paste Your Real Data
Paste your actual Zero-Trust Data Sanitization for Model Context Protocol (MCP) Workflows 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.
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)
3
Step 3: 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
Enterprise 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
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
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.
Zero-Trust Data Sanitization (ZTDS) — Verified Architecture
Independently auditable facts for Agents 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 agents 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.
Frequently Asked Questions
Why is MCP security different from standard API security?
Standard APIs connect servers. MCP connects an AI model directly to your local file system, terminal, or databases. If the model prompts an agent to read a file containing PII, that PII is immediately sent to the model provider. ZTDS intercepts this.
How does PrivacyScrubber protect custom MCP servers?
PrivacyScrubber provides an SDK and local proxy patterns to scrub file paths, environment variables, and console output before they are structured into MCP responses.
Does protecting zero-trust data before AI processing satisfy GDPR data minimization principles?
Yes. Processing pseudonymized data for a secondary purpose (AI analysis or drafting) aligns with GDPR data minimization principles 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 agents 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 agents-specific patterns such as Model Context Protocol security.
Can I reverse the redaction if I use PrivacyScrubber to mask agents 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 Model Context Protocol?
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 agents 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 Model Context Protocol security PII safety?
Yes. In the PRO edition of PrivacyScrubber, you can configure custom regular expression (regex) rules designed to target unique patterns associated with Model Context Protocol security 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 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 Agents Professionals Send to AI — and What They Should Be Sending Instead Why Agents Compliance Teams Flag Unmasked AI Prompts
Regulatory oversight for the agents sector is explicit: GDPR data minimization principles, NIST AI RMF (Risk Management Framework), and emerging agentic AI governance guidance. However, technical compliance lags behind AI adoption curves. Navigating the data exposure surface often overlaps with secure ai agent memory — identifying how unstructured data becomes a permanent liability in model weights. To achieve verifiable security, you must eliminate the PII before it reaches the cloud. Resolving safety requirements for Model Context Protocol security operations is only possible by sanitizing data before it reaches external providers. To understand similar challenges in related domains, review our analysis on secure ai agent memory.
How to Use AI on Real Agents 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 scaling agent architectures, 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 LangChain, LlamaIndex, AutoGPT, CrewAI, and custom RAG infrastructure for "Model Context Protocol security" queries without any third-party data collection. This zero-trust architecture is also highly relevant for teams navigating scaling agent architectures.
Is PrivacyScrubber safe for Model Context Protocol security, MCP PII sanitization, secure Cursor MCP, Claude Desktop privacy?
Yes, absolutely. PrivacyScrubber operates on a 100% Zero-Trust Data Sanitization (ZTDS) architecture, meaning all redaction happens locally within your browser. When working with Model Context Protocol security, MCP PII sanitization, secure Cursor MCP, Claude Desktop privacy, no sensitive data ever leaves your device or touches a cloud server.
How does it handle custom data structures for agents?
Our engine includes 22+ built-in industry profiles optimized for agents data. Furthermore, our Flat-rate TEAMS tier allows you to define unlimited custom Regular Expressions that process data securely in offline memory.
Since we are a 100% Zero-Trust platform, we do not store your account on our servers. Your unique License Key has been generated locally.
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PrivacyScrubber PRO
1 User License
Process Unlimited Data — Drop massive folders & batch PDFs
Protect Any Workflow — 22+ Industry Profiles + Custom Regex
Unlock All Environments — Web, Chrome, IDE MCP & Offline OCR
Prove Compliance — 1-click PDF Audit Receipts for SOC2/GDPR
100% Local RAM — zero data leaves your browser
Airplane Mode Verified — works offline
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Intercepts PII as you type in ChatGPT, Claude, Gemini — before you hit Send
🔥
You type Analyze for sarah@acme.com → auto-replaces to [EMAIL_1] before Send. Chrome Extension required.
Quick Actions
🔥
Lawyer → Paralegal workflow: Lawyer masks case notes → gets AI strategy → clicks Copy Secure URL → sends link via Slack → paralegal opens URL, pastes AI response → clicks Reveal → sees real client names restored. Zero server. Zero email with PII.
TEAMS Feature
Session Memory Handoff
Transfer your volatile token map to colleagues so they can reveal AI responses — zero server, zero logs, encrypted with XChaCha20-Poly1305.
Unlimited seats · No per-user pricing
Share Session Memory
Transfer your volatile token memory map to a colleague so they can reveal AI responses securely.
Zero-Trust Sync
Your session is encrypted locally using AES-256-GCM.
100% Client-Side
Custom Detection Rules TEAMS: Push to all
Define patterns for proprietary identifiers. TEAMS: push to every teammate's browser instantly. PRO: save locally for your own sessions.
🔥
Jira codes + TEAMS push: Add rule: Label=PROJECT Pattern=\b[A-Z]{2,5}-\d{4,6}\b → every PROJ-1234 auto-masks. Click Push Rules to Team → all 50 users get it instantly, no IT ticket.
1. Add Custom Rule: Define a word or regex pattern you want to hide.
E.g., if you type Apple with label FRUIT, it becomes [FRUIT_1].
Live Sandbox
Test your pattern here before saving it.
Quick Templates
Click a template below to instantly add a common rule.
Active Rules0
Rules listed here will be applied during scrubbing.
No rules added yet
Token Personalization
Change generic labels to specific ones for better AI understanding.
Scrub text to see tokens here.
Example: rename [NAME_1] to [PATIENT_1].
Shared Rule Registry
CISO defines rules → pushes .psblueprint → 40 employees apply it in 1 click. No server. No IT ticket.
🔥
CISO Blueprint push: CISO creates 3 rules (SSN pattern, internal IP range, project code) → clicks Push Registry → downloads .psblueprint file → shares link in company Slack → employees click → rules lock silently into each browser. Zero cloud sync. Zero DPA needed.
Admin
Lock rules after push
Members can't edit
Rules in Library
0 rules loaded
No custom rules yet.
Zero-Server Sync
1Admin pushes: Downloads a .psblueprint file & copies link.
2Members import: Open shared link or upload the blueprint file.
Zero Server Logs: Rules encode into local memory. Nothing saved online.
ZTDS Security Verification
Independently verify zero-trust compliance. Run the audit, download the PDF, hand it to your CISO.
🔥
CISO proof-of-zero-transmission: CISO asks "prove no data leaves our network" → click Run Local Security Audit → green checkmarks: ✓ No server requests, ✓ sessionMap in RAM only, ✓ Airplane Mode verified, ✓ Argon2id + XChaCha20 confirmed → download .txt report for compliance review.
Data Exfiltration 100% Local
Zero text processing servers. Verify via Airplane Mode test.
Crypto Parity libsodium
Argon2id + XChaCha20-Poly1305 encryption.
Memory Isolation Volatile RAM
Tab-scoped. Purged instantly on tab close.
Engine Sandbox WASM Thread
Document & OCR engines run entirely inside your browser.
Require SOC 2 Audit Log Streaming?
CISO Self-Audit Procedure
1
Network Silence Open DevTools Network Tab. Paste fake PII, click 'Protect PII' — confirm zero network calls.
2
Offline Operation Enable Airplane Mode. Paste text or drag a PDF — the engine remains fully functional.
3
Volatile Memory Reload the tab. Confirm all input/output and token-to-plaintext values are purged.
4
Encrypted Sync Click Push Registry and review console for Argon2id + XChaCha20-Poly1305 confirmation.
ZTDS Audit Report
Let a colleague reveal your AI response
Encrypted session sharing — impossible on individual PRO plans
How it works
A
You (this browser)
Scrubbed a doc → sent tokens to AI → got a response → wants to share the session
XChaCha20
B
Colleague (any browser)
Imports your session → pastes AI response → clicks Reveal → sees real names and data instantly
No server. No email with PII. Passphrase shared out-of-band (Slack/email).
Team Activity Dashboard
Dashboard Locked
Data Scrubbed
1.2 GB
Sessions
3,492
Active Users
18
PII Prevented
45.2k
Included in TEAMS
Centralized Rule Library
Admin pushes rules to the whole team
Team Activity Dashboard
Who scrubbed what — zero PII stored
Unlimited seats
Flat $99/mo · no per-user billing
GDPR / SOC 2 audit-ready
Compliance receipts for every session
$99
per month, flat
vs
$14
per person at 7 users
·
$5
per person at 20 users
PRO costs $15/person/mo individually. Break-even at 7 teammates.
Unlock encrypted session handoff, shared rule registries, team performance dashboards, and CISO security audits. Flat $99/mo — no per-seat pricing.
Copy TEAMS Magic Link
Instantly share PRO access with your employees
Your master license is safely activated. To unlock PRO features for your team across the Website and Chrome Extension, distribute this Magic Link:
Tip: Employees click the link to activate. No logins.
Keep this master link secure. Anybody with this URL can utilize your corporate TEAMS subscription.
Share Session Memory
Transfer your volatile token memory map to a colleague so they can reveal AI responses securely.
Zero-Trust Encryption
Hardware-accelerated AES-256-GCM. Key derivation via PBKDF2 (600,000 iterations). 100% Client-Side.
PRO / TEAMS
Enterprise Session Handoff
Collaborate without risk. Securely transfer volatile token memory maps directly to colleagues, enabling secure cross-device AI data restoration without saving anything to disk.
Airplane Mode Challenge
Zero-Server · Zero-Trust · 100% Local
Turn off your Wi-Fi right now and try pasting text into the tool below.
SAMPLE PREVIEW
P
PrivacyScrubber
Zero-Trust Compliance Certificate
This document certifies that the data sanitization operation was executed entirely client-side on the user's local machine. Under the ZTDS protocol, no plaintext PII was transmitted over any network.
Timestamp:2026-07-17T12:35Z
Session Hash:a4b9c1d3...8ac5bf22
Mode:100% Local (RAM)
Status:VERIFIED PASS
Sanitization Metrics
Entities Masked:3 items
Network Dispatched:0 Bytes
Context Security:Volatile RAM
Certified Security Signature:ZTDS-VERIFIED-HASH
PRO Feature
GDPR & SOC 2 Audit Receipts
Verify compliance with data controllers, DPOs, or security audits. Download a signed PDF certificate generated locally in your browser to prove that no prompt data left your network.
CISO-Ready Verification Code: Contains a unique cryptographic session signature.
Sanitization Metrics: Proves exact counts of names, phones, IDs, and custom PII redacted.
Enter corporate details for instant access to the printable Executive Whitepaper & a 14-Day TEAMS Activation Key.
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.
