Sanitize Secrets & Logs
Before Using AI.
Protect PII locally and securely before using LLMs for code review or log analysis. Stop credential leaks 100% offline.
Executive Summary: DEV
Developers are the primary drivers of AI adoption, but they are also the primary vector for 'Shadow AI' risks. Pasting server logs, API keys, or JWT tokens into an AI to debug a production error is a recipe for a catastrophic cloud leak. PrivacyScrubber is designed to be the 'pre-commit' for your clipboard. It identifies secrets, environment variables, and user IPs automatically, ensuring that when you use AI for code review or log analysis, your infrastructure remains a secret. No cloud uploads, no server calls — just secure, local code sanitization.
Privacy Checkpoints
- Shadow AI Prevention: Stop API keys and JWTs from leaking through developer clips.
- Log Sanitization: Scrub production logs before using AI for root cause analysis.
- Code Review Privacy: Protect internal architecture secrets from third-party training data.
- Security-as-Code: Integrate local scrubbing into your personal developer workflow.
Identified Risks & Solutions
PII Detection Matrix
| Entity Type | Exposure Risk | Local Edge Control |
|---|---|---|
| API Keys | Critical (Exploitation) | Pattern-Based Detection |
| User IP Addresses | High (DLP) | IPv4/v6 Regex Masking |
| Internal URLs | Medium (Footprinting) | Custom Domain Filtering |
The Dev AI Privacy Gap
Credential Spillage
Developers frequently paste crash logs containing runtime keys into AI for debugging.
Infrastructure Leak
Engineering teams leaking internal IP ranges and architecture via AI coding assistants.
Proprietary Logic
Unchecked ingestion of enterprise codebase logic into public model training sets.
Raw Input: apiKey: 'sk-123456', db_url: 'postgres://user:pass@host'...
Sanitized: apiKey: '[SECRET_1]', db_url: '[URL_1]'...
Secure Dev AI Workflow
Enable high-performance AI without client data leaving your machine
Import Files
Upload documents locally into the PrivacyScrubber sandbox.
Local Masking
Identify and tokenize sensitive strings entirely within browser memory.
Analyze with AI
Submit sanitized prompts to ChatGPT or Claude for processing.
Reverse Scrub
Bring back original data into the AI response locally for the final draft.
Hardened Audit Standards
Satisfying strict global security frameworks for Dev data.
CC6.1
Restricting unauthorized disclosure of system secrets.
A.12.1
Operational procedures and responsibilities for log sanitization.
By Design
Enforcing privacy at the engineering ingestion layer.
800-53
Protecting PII within developer environments.
Implementation Guides
Explore specific PII redaction workflows for Dev Teams
How to Sanitize Server Logs for AI Debugging
Protect emails, IPs, and user IDs from server logs before using AI to debug production issues.
Secure AI Code Review
Before pasting code into AI tools, protect API keys, tokens, and environment variables automatically.
Local vs Server-Side AI Data Protection
Compare local browser-based PII protection vs server-side solutions. Why local wins every time.
GitHub Copilot PII Leakage
GitHub Copilot sends your code context to OpenAI. Learn which PII is at risk when developers use Copilot with real data in files.
How to Protect Internal API Keys & Project Codes from AI
Developers pasting logs into ChatGPT accidentally leak proprietary internal IDs, custom UUIDs, or API keys that standard PII tools miss.
AWS Secret Key Redaction for AI Tools
Prevent AWS root keys from leaking to ChatGPT. Local regex redaction for cloud credentials.
JWT Token Redaction Before AI API Calls
Strip JWT bearer tokens from logs and payloads before sending to AI debuggers.
GitHub Token DLP
Locally redact GitHub personal access tokens from code snippets before pasting to AI.
Node.js PII Scrubber
How to deploy a zero-trust, local regex PII scrubber in Node.js. No servers, no APIs, fully offline data compliance.
Python PII Scrubber vs Client-Side Sanitization
Most developers look for a Python PII scrubber library, but shifting redaction to the client-side browser is far more secure.
Deploy Secure Dev AI Today
Satisfy compliance requirements, eliminate disclosure risks, and innovate at the speed of AI.