Comparing Privacy-First AI Tools and Extensions
Comparison

Claude Code Privacy Guide: How to Mask Codebase Secrets & API Keys Locally

Claude Code Privacy Guide: Is Claude Code CLI safe for private repos? Learn how to configure local MCP server sanitization to protect codebase privacy, API keys, and customer data in terminal sessions. 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 Comparison professionals using generative AI. By sanitizing sensitive identifiers locally, we ensure absolute data sovereignty without sacrificing the power of LLM reasoning."

Paste real Comparison 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.

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In This Article
Live Turnkey Simulator · ZTDS Engine

Interactive PII Detection & Sanitization Sandbox

Test real-time client-side RAM tokenization. Choose a specialized preset or paste your own raw prompt to test instant reversible redaction.

0 Bytes Server Egress
<1.8ms Latency
Select Industry Test Payload:
Raw Input Payload
0 chars
RAM-Only Isolated Session
Sanitized Output
Click any token above to toggle single-token reveal ✓ Restored
Automated Detection Classes:
USER_NAMEEmail AddressesUser / Server IP AddressesSESSION_IDQUERY_TEXT
Open in Full Workspace

AI Risk Calculator

50
Risk● Critical
Leaks/yr
9,000
Max Fine
€20M

Get Your Risk Estimate

Provide company details to generate your personalized Shadow AI risk estimate.

Zero-Trust Data Protection: Stop leaking sensitive client data to public LLMs and protect your organizational privacy. PrivacyScrubber ensures you can use GenAI safely by neutralizing risks 100% offline in your browser.

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

If you're using AI for Claude Code Privacy Guide, protecting your personal data is essential. Chatbots like ChatGPT (temporary chat, memory-off), browser AI extensions, and local AI models store every prompt you send to train their models. Our comparison AI privacy guides provides a simple guide on how to protect your privacy and enjoy the benefits of AI. The primary risk is misunderstanding the privacy guarantees of different AI tool configurations and choosing tools that retain data unintentionally.

Pasting text into chat interfaces without local redaction creates a persistent record. These conversations are saved on company databases and used for model training, meaning your private info is no longer under your control. Is Claude Code CLI safe for private repos? Learn how to configure local MCP server sanitization to protect codebase privacy, API keys, and customer data in terminal sessions. Includes Flat-rate TEAMS pricing and Zero-server architecture.

Privacy Insight: Anthropic Claude and Claude Code CLI process codebases and prompts on remote servers. By tokenizing API keys, JWT tokens, customer PII, and proprietary database strings locally in RAM via @privacyscrubber/mcp-server or browser extension prior to inference, developers eliminate all codebase leakage risks.

Why Comparison Compliance Teams Flag Unmasked AI Prompts

Even though there are privacy rules like GDPR to protect us, they don't always stop AI companies from saving what you paste into their tools. This is why understanding google gemini data privacy and masking is so important — it's the first step to taking back control of your personal data. The easiest way to stay safe is to hide your private info before the AI ever sees it. Resolving rigorous safety requirements is only possible by sanitizing data before it reaches external neural network providers.

PrivacyScrubber serves as an Invisible Shield for your AI inputs, working via our copy-paste web workspace or the PrivacyScrubber Chrome Extension.

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

PrivacyScrubber serves as an Invisible Shield for your AI inputs, working via our copy-paste web workspace or the PrivacyScrubber Chrome Extension. It scans your text in local memory to swap names and emails with secure placeholders (like [NAME_1]) before transmission. This matches the standard described in LLM firewall protection, allowing you to use AI without sharing your identity. The Chrome Extension embeds a protect button directly inside ChatGPT, Claude, and Gemini to automate the entire process. Running Named Entity Recognition locally ensures that teams can continue using ChatGPT (temporary chat, memory-off), browser AI extensions, and local AI models for daily queries without any third-party data collection.

You don't have to take our word for it. You can test it yourself using our Airplane Mode Verification: load this page, turn off your Wi-Fi, and hit the protect button. It works perfectly without the internet, which is the gold standard for Zero-Trust architecture and personal safety. If it works offline, you know your data is staying with you.

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 AlgorithmXChaCha20-Poly1305 (Argon2id)
Detection MethodContext-Aware Regex + NER (99.3% Accuracy)
Data Egress RuleZero-Server Egress (Airplane Mode Verifiable)
Classification StandardHigh Privacy Guard
Associated Threat LevelHigh (Identity Exposure)

Claude Code & Claude Desktop: Managing Codebase Privacy in 2026

The launch of Claude Code (CLI) and agentic desktop workflows has transformed developer productivity. However, giving an AI direct terminal and repository access introduces major exfiltration vectors: production .env keys, database credentials, and internal customer records frequently get swept into prompt context.

The Unsanitized Claude Risk

  • • Repository secrets and API keys sent over external network
  • • 30-day cloud retention on third-party servers
  • • Accidental leakage of customer DB rows during debugging
  • • Potential compliance breach under SOC 2 CC6.7 & GDPR

The ZTDS MCP Resolution

  • • 100% local stdio Model Context Protocol (MCP) server
  • • Automatic masking of JWTs, AWS keys, IPs, and PII in RAM
  • • Sub-millisecond tokenization before context leaves terminal
  • • 1-Click local rehydration of refactored code

Configuring Claude Desktop & Claude Code with PrivacyScrubber MCP

Developers can enforce air-gapped sanitization by adding @privacyscrubber/mcp-server directly to their claude_desktop_config.json: 

{ "mcpServers": { "privacyscrubber": { "command": "npx", "args": ["-y", "@privacyscrubber/mcp-server"] } }
}

Every file read and codebase inspection pass is sanitized in local RAM before reaching Anthropic models, ensuring full adherence to ISO 27001 Annex A.8.11 and SOC 2 Type II criteria.

Comparison Detection Profile

Our zero-trust engine is pre-hardened for Comparison workflows, automatically identifying and tokenizing the following parameters 100% locally.

USER_NAME
Active Protection
EMAIL
Active Protection
IP_ADDRESS
Active Protection
SESSION_ID
Active Protection
QUERY_TEXT
Active Protection

Your Private Shield

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 architecture.

Testing Your Safety

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.

Claude (Anthropic) Integration

Step-by-Step Integration Guide: Claude Code Privacy Guide

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 Claude (Anthropic):

1 Method A: Instant Clipboard & Web Workspace

Fastest for ad-hoc debugging, server crash logs, or DB dumps:

  1. Paste the raw database dump, stack trace, or config payload into PrivacyScrubber.
  2. Click Protect PII to locally tokenize all tokens, hostnames, and API secrets with 100% Local RAM Processing.
  3. Copy the sanitized code and safely query ChatGPT, Claude, or Copilot.
  4. Reveal responses locally using Reveal Originals with zero data egress.

2 Method B: Chrome Extension & MCP Server

For automated in-browser prompt masking & IDE agents (Cursor / Cline):

  1. Install the free PrivacyScrubber Extension to auto-mask credentials directly in ChatGPT/Claude inputs.
  2. Or connect the PrivacyScrubber MCP Server via Developer SDK to Cursor, Cline, or Claude Code.
  3. Session token maps remain 100% in volatile RAM with zero telemetry.
  4. Debug complex architectures without leaking production database URIs or AWS secrets.

Local Redaction & Risk Matrix for Comparison

Detection EntityToken PlaceholderRisk LevelSecurity Action
USER_NAME Details[USER_NAME]Medium (PII Exposure)Deterministic local swap
Email Addresses[EMAIL]High (Personal contact PII)Domain-safe local strip
User / Server IP Addresses[IP_ADDRESS]High (DLP / Location footprinting)IPv4 / IPv6 format strip
SESSION_ID Details[SESSION_ID]Medium (PII Exposure)Deterministic local swap
QUERY_TEXT Details[QUERY_TEXT]Medium (PII Exposure)Deterministic local swap

3-Step Zero-Trust AI Workflow Template

Role: Lead DevSecOps Engineer / Cloud Security Architect · Target: Claude (Anthropic)
1. Sanitize Data First
1Sanitize in PrivacyScrubber
2Run Prompt in Claude (Anthropic)
31-Click Reveal via sessionMap
DevSecOps Root Cause Analysis (Production Stack Trace & Config Sanitization)PrivacyScrubber ZTDS Protocol
Act as a principal cloud systems architect. Analyze the following sanitized production stack trace and database configuration for [DB_NAME_1]:
1. Identify the root cause of the connection pool exhaustion and query timeouts.
2. Provide an optimized, non-blocking connection pool configuration for high concurrency.
3. Draft a step-by-step remediation patch. CRITICAL COMPLIANCE INSTRUCTION (PrivacyScrubber ZTDS Standard): Retain all cryptographic token identifiers ([DB_NAME_1], [INTERNAL_IP_1], [SECRET_1], [JWT_TOKEN_1]) strictly unchanged in your configuration suggestions for client-side local rehydration via PrivacyScrubber.
Step 3: 1-Click Reverse Rehydration (No Manual Decoding)When Claude (Anthropic) outputs tokens like [NAME_1], paste the AI response back into PrivacyScrubber Reveal to restore original sensitive data in 1 click in local RAM.
Auto-Reveal in Extension
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: SOC 2 Type II CC6.7 & OWASP Top 10 for LLM (LLM06: Sensitive Information Disclosure)API keys, Bearer JWTs, database connection URIs, and internal IP subnets are sanitized locally before entering the LLM context window, preventing vector-store credential leaks.

Comparison 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 Comparison

Zero-Trust Data Sanitization (ZTDS) — Verified Architecture

Independently auditable facts for Comparison 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 comparison 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 Comparison Teams.

Is Claude Code CLI safe for proprietary source code?
By default, Claude Code CLI and Claude Desktop transmit prompt snippets, terminal outputs, and codebase context to Anthropic cloud instances for inference. If your repository contains hardcoded .env variables, database connection URIs, or customer logs, unmasked transmission can lead to credential exposure. Sanitizing codebase prompts locally via an air-gapped MCP server ensures proprietary secrets never leave your device.
How does PrivacyScrubber protect Claude Code and Cursor IDE workflows?
PrivacyScrubber provides an official stdio-based Model Context Protocol server (@privacyscrubber/mcp-server). When Claude Desktop or Cursor invokes tools, the MCP server intercepts file contents and terminal logs, replacing database passwords, JWT tokens, AWS keys, and emails with non-identifying tokens in active RAM before dispatching context to the model.
Does Anthropic train models on Claude Code prompts?
Anthropic states that commercial API and Enterprise tier prompts are not used for model training. However, standard web tiers and development logs are subject to a 30-day retention window on external cloud infrastructure. Zero-Trust Data Sanitization ensures that even in the event of an external cloud incident, your prompt payload contains zero exploitable secrets.
How do I reverse tokens in Claude's code responses?
When Claude generates refactored code or diagnostic fixes containing tokens (like [DATABASE_URL_1] or [API_KEY_1]), PrivacyScrubber's unscrubText() function or 1-Click Reveal restores original credentials locally in under 10ms with zero network transmission.
Does protecting data with PrivacyScrubber before AI processing satisfy GDPR?
Yes. Processing pseudonymized data for a secondary purpose (AI analysis or drafting) aligns with GDPR 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 comparison 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 comparison-specific patterns such as proprietary account IDs, MRNs, or internal project codes.
Can I reverse the redaction if I use PrivacyScrubber to mask comparison 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 comparison 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 Comparison Professionals Send to AI — and What They Should Be Sending Instead
Why Comparison Compliance Teams Flag Unmasked AI Prompts
Even though there are privacy rules like GDPR to protect us, they don't always stop AI companies from saving what you paste into their tools. This is why understanding google gemini data privacy and masking is so important — it's the first step to taking back control of your personal data. The easiest way to stay safe is to hide your private info before the AI ever sees it. Resolving rigorous safety requirements is only possible by sanitizing data before it reaches external neural network providers.
How to Use AI on Real Comparison Data — Without Sending a Single Real Name
PrivacyScrubber serves as an Invisible Shield for your AI inputs, working via our copy-paste web workspace or the PrivacyScrubber Chrome Extension. It scans your text in local memory to swap names and emails with secure placeholders (like [NAME_1]) before transmission. This matches the standard described in LLM firewall protection, allowing you to use AI without sharing your identity. The Chrome Extension embeds a protect button directly inside ChatGPT, Claude, and Gemini to automate the entire process. Running Named Entity Recognition locally ensures that teams can continue using ChatGPT (temporary chat, memory-off), browser AI extensions, and local AI models for daily queries without any third-party data collection.
Is PrivacyScrubber safe for claude code privacy, claude code cli privacy, is claude safe, claude code mcp, claude ai privacy, claude desktop privacy, mask codebase secrets claude, claude code data protection?
Yes, absolutely. PrivacyScrubber operates on a 100% Zero-Trust Data Sanitization (ZTDS) architecture, meaning all redaction happens locally within your browser. When working with claude code privacy, claude code cli privacy, is claude safe, claude code mcp, claude ai privacy, claude desktop privacy, mask codebase secrets claude, claude code data protection, no sensitive data ever leaves your device or touches a cloud server.
How does it handle custom data structures for comparison?
Our engine includes 22+ built-in industry profiles optimized for comparison 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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