Developer Secrets and PII Protection for Code Analysis
Dev

Secure AI Code Review: Hide API Keys & Secrets

Before pasting code into AI tools, protect API keys, tokens, and environment variables automatically. 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 Dev professionals using generative AI. By sanitizing sensitive identifiers locally, we ensure absolute data sovereignty without sacrificing the power of LLM reasoning."

Paste real Dev 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
Live Simulation

Zero-Trust Data Sanitization

Watch PrivacyScrubber's local engine transform sensitive Dev data instantly in your browser, without any API calls.

Automated Detection Classes:
API Access Keys / TokensJWT Authorization TokensAWS Access / Secret KeysDatabase Connection URIsUser / Server IP Addresses
100% Client-Side Execution
Wasm_Engine
PROD LOG > [ERROR] user=john@corp.com ip=10.0.44.201 Failed auth: key=sk-prod-xK9mN2pL8qR4tY7vZ1 DB: postgres://admin:Pass1234@db.internal:5432/prod
PROD LOG > [ERROR] user=[EMAIL_1] ip=[IP_1] Failed auth: key=[API_KEY_1] DB: [DATABASE_URL_1]

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.

The Zero-Trust Imperative: Sanitize API payloads and application logs from production secrets before feeding them into debugging LLMs. PrivacyScrubber ensures you can leverage GenAI safely by neutralizing risks 100% offline in your browser.

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

Managing "Secure AI Code Review: Hide API Keys & Secrets" is a major technical objective for software engineers, DevOps teams, and security engineers. As the adoption of GitHub Copilot, ChatGPT, Cursor AI, and AI-assisted debugging tools increases, the risk of corporate data exfiltration to external datasets grows. Our dev AI privacy guides details how to secure the dev perimeter during this transition. The main threat is leaking API keys, database credentials, user PII from logs, and internal system architecture to AI code assistants that may log prompts.

Submitting business records or executing "API key protection" queries in cloud AI systems can lead to NDA violations. Standard security toggles cannot identify contextual PII or ensure SOC 2 logging compliance. For software engineers, DevOps teams, and security engineers, raw prompt inputs represent the primary leak vector. Before pasting code into AI tools, protect API keys, tokens, and environment variables automatically. Includes Flat-rate TEAMS pricing and Zero-server architecture.

Privacy Insight: Pasting raw unredacted bash logs or `.env` traces into a ChatGPT prompt is technically equivalent to committing credentials to a public GitHub repo. Client-side sanitization prevents the keys from ever leaving your device.

Why Dev Compliance Teams Flag Unmasked AI Prompts

Compliance in the dev space is mandatory: OWASP guidelines on secrets management, SOC 2 Type II trust service criteria, and GDPR Article 25 (data protection by design). Yet, technical safeguards often lag behind shadow AI usage. Managing this exposure relies on the principles in local vs server-side ai data protection to prevent corporate records from becoming training data. You must sanitize inputs before cloud transit. Resolving safety requirements for API key protection operations is only possible by sanitizing data before it reaches external providers.

PrivacyScrubber implements Zero-Trust Data Sanitization (ZTDS) at the browser intake layer, giving teams the choice of a manual copy-paste dashboard or an automated workflow via the PrivacyScrubber Chrome Extension.

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

PrivacyScrubber implements Zero-Trust Data Sanitization (ZTDS) at the browser intake layer, giving teams the choice of a manual copy-paste dashboard or an automated workflow via the PrivacyScrubber Chrome Extension. Our engine performs local Named Entity Recognition (NER) to replace sensitive identifiers with deterministic tokens (e.g., [NAME_1], [ID_2]) before transmission. This architectural pattern mirrors industry standards for secure license distribution — ensuring that only sanitized, non-identifiable logic is processed by the AI. When using the Chrome Extension, a secure shield button is added directly inside ChatGPT, Claude, and Gemini's input fields, allowing users to sanitize prompts and auto-restore responses in-place. Running Named Entity Recognition locally ensures that teams can continue leveraging GitHub Copilot, ChatGPT, Cursor AI, and AI-assisted debugging tools for "API key protection" queries without any third-party data collection.

This zero-egress model is verifiable via the Airplane Mode Standard. Disconnect your Wi-Fi, run the tool, and confirm that all processing stays in local memory. This meets the criteria for PII MCP Server integration, proving local-first execution is the safest choice.

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.

Zero-Trust Configuration & Threat Model

Establishing a secure runtime boundary for API key protection workflows is key to compliance. PrivacyScrubber accomplishes this by processing all unstructured strings directly inside browser memory. The engine's local regex patterns parse prompts for secure code AI and swap them with secure identifiers in real-time. This offline tokenization scheme ensures that third-party LLMs cannot reconstruct the original identities during analysis of developer privacy tool logs.

Verification Protocol

  • Parse unstructured records for key data points concerning secure code AI.
  • 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 (99.5% Accuracy)
Data Egress RuleZero-Server Egress (Airplane Mode Verifiable)
Classification StandardMaximum Privacy Guard
Associated Threat LevelLow (Inference Risk)

Preventing "Credential Poisoning" in LLM Training Sets

Every developer has felt the temptation: pasting a complex block of code or a .env database configuration file into ChatGPT or Claude to debug a stack overflow. If that snippet contains an AWS_SECRET_KEY, a Stripe live_token, or an internal production IP address, that credential is now sent to a third-party's logging system. In some cases, it may even be used to fine-tune future models, leading to a "Credential Poisoning" scenario where the LLM might suggest your secrets to other users.

UNSAFE INPUT
const config = {
apiKey: "sk_live_51Mv...",
db: "10.0.1.45"
};
ZTDS PROTECTED
const config = {
apiKey: "[SECRET_KEY_1]",
db: "[INTERNAL_IP]"
};

The Developer Workflow

Sanitize source files and snippets locally before querying external LLMs:

In-Page Code Reviews

Chrome Extension

Ideal for daily debugging. Let the extension auto-scrub your code prompts inside ChatGPT/Claude. Use **Reveal** to immediately restore clean code formats when copying the model's output.

Install Extension →
Bulk Configs & Envs

Offline Secure Workspace

For scanning entire .env maps or configuration directories. Go offline (Airplane Mode Verified) and drop files. All regex sanitization is done locally in your browser memory.

Go to Secure Workspace →

Mask Proprietary Credentials with Custom Regex (PRO)

While default rules catch common secrets (AWS, Github PATs, Stripe keys), your enterprise may use proprietary token patterns (e.g., corp-auth-[a-f0-9]{16}). Under the PRO tier, you can configure unlimited Custom Regex Rules to target specific API structures, ensuring internal system details are never leaked.

Instant Simulation

Secure AI Code Review 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 API key protection. Author: Jane Miller (jane.miller@company.com), phone: 555-0182. Location: 123 Maple Street.
PROMPT INPUT > Summarize this file regarding API key protection. Author: [NAME_1] ([EMAIL_1]), phone: [PHONE_1]. Location: [ADDRESS_1].

Dev Detection Profile

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

API_KEY
Active Protection
JWT_TOKEN
Active Protection
AWS_SECRET
Active Protection
DATABASE_URL
Active Protection
IP_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.
  • Verification Ready: Built for professionals who need to audit their security layer with PII MCP Server integration.

Hardware-Level Verification

We encourage you to audit our zero-trust claims for API key protection 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.

Developer API Pipelines Integration

How to Protect Data for Secure AI Code Review

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 Developer API Pipelines:

1 Method A: Local Clipboard Tool

Fastest for ad-hoc debugging or auditing logs before sending data to AI endpoints:

  1. Paste the raw database dump, stack trace, or credentials payload into the PrivacyScrubber text area.
  2. Click Protect PII to locally tokenize all tokens, hostnames, and API secrets.
  3. Copy the sanitized code and safely query the developer AI model.
  4. Reveal responses locally using Reveal Originals.

2 Method B: Wasm Engine Integration

For automated pipelines and programmatic execution:

  1. Leverage our local scrubber-core.js script directly within your browser extensions or web view.
  2. Configure custom regex lists sorted by length descending to match unique token formats.
  3. Keep the session map entirely in volatile, tab-scoped RAM.
  4. Integrate inside local DevOps IDE tools to auto-scrub credentials.

Local Redaction & Risk Matrix for Dev

Detection EntityToken PlaceholderRisk LevelSecurity Action
API Access Keys / Tokens[API_KEY]Critical (Cloud account takeover)Pattern matching mask
JWT Authorization Tokens[JWT_TOKEN]Critical (Session hijacking)Bearer header scrubbing
AWS Access / Secret Keys[AWS_SECRET]Critical (Infrastructure compromise)Offline credential swap
Database Connection URIs[DATABASE_URL]Critical (Data store breach)Credentials & path strip
User / Server IP Addresses[IP_ADDRESS]High (DLP / Location footprinting)IPv4 / IPv6 format strip
Dev Guide

Scrub API Keys & Secrets Before AI — Dev Guide

Read the full guide →
VERIFIABLE WORKFLOW

From Raw Dev Data to Clean AI Prompt

3 Steps, 30 Seconds, Zero Server Hops.

Open PrivacyScrubber or the Chrome Extension. Paste your real Secure AI Code Review text. What reaches ChatGPT looks like this: [NAME_1][EMAIL_1]. Your original data stays local the entire time.

1

Paste Your Real Data

Paste your actual Secure AI Code Review 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.

Automated Detection Classes:
[API_KEY][JWT_TOKEN][AWS_SECRET][DATABASE_URL][IP_ADDRESS]
2

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)
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 Dev 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 dev 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 Dev Teams.

Does protecting data before AI processing satisfy OWASP guidelines on secrets management?
Yes. Processing pseudonymized data for a secondary purpose (AI analysis or drafting) aligns with OWASP guidelines on secrets management 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 dev 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 dev-specific patterns such as API key protection.
Can I reverse the redaction if I use PrivacyScrubber to mask dev 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 API key protection?
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 dev 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 API key protection PII safety?
Yes. In the PRO edition of PrivacyScrubber, you can configure custom regular expression (regex) rules designed to target unique patterns associated with API key protection 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 Dev Professionals Send to AI — and What They Should Be Sending Instead
Why Dev Compliance Teams Flag Unmasked AI Prompts
Compliance in the dev space is mandatory: OWASP guidelines on secrets management, SOC 2 Type II trust service criteria, and GDPR Article 25 (data protection by design). Yet, technical safeguards often lag behind shadow AI usage. Managing this exposure relies on the principles in local vs server-side ai data protection to prevent corporate records from becoming training data. You must sanitize inputs before cloud transit. Resolving safety requirements for API key protection operations is only possible by sanitizing data before it reaches external providers.
How to Use AI on Real Dev Data — Without Sending a Single Real Name
PrivacyScrubber implements Zero-Trust Data Sanitization (ZTDS) at the browser intake layer, giving teams the choice of a manual copy-paste dashboard or an automated workflow via the PrivacyScrubber Chrome Extension. Our engine performs local Named Entity Recognition (NER) to replace sensitive identifiers with deterministic tokens (e.g., [NAME_1], [ID_2]) before transmission. This architectural pattern mirrors industry standards for secure license distribution — ensuring that only sanitized, non-identifiable logic is processed by the AI. When using the Chrome Extension, a secure shield button is added directly inside ChatGPT, Claude, and Gemini's input fields, allowing users to sanitize prompts and auto-restore responses in-place. Running Named Entity Recognition locally ensures that teams can continue leveraging GitHub Copilot, ChatGPT, Cursor AI, and AI-assisted debugging tools for "API key protection" queries without any third-party data collection.
Is PrivacyScrubber safe for API key protection, secure code AI, developer privacy tool?
Yes, absolutely. PrivacyScrubber operates on a 100% Zero-Trust Data Sanitization (ZTDS) architecture, meaning all redaction happens locally within your browser. When working with API key protection, secure code AI, developer privacy tool, no sensitive data ever leaves your device or touches a cloud server.
How does it handle custom data structures for dev?
Our engine includes 22+ built-in industry profiles optimized for dev data. Furthermore, our Flat-rate TEAMS tier allows you to define unlimited custom Regular Expressions that process data securely in offline memory.
Dev Hub

More Dev Privacy Guides