Keep your sensitive information out of chat logs, emails, and more with encrypted secrets.
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Updated
Aug 27, 2026 - TypeScript
Keep your sensitive information out of chat logs, emails, and more with encrypted secrets.
The Sensitive Data Protection on AWS solution allows enterprise customers to create data catalogs, discover, protect, and visualize sensitive data across multiple AWS accounts. The solution eliminates the need for manual tagging to track sensitive data such as Personal Identifiable Information (PII) and classified information.
Camouflage is a VS Code extension that helps protect sensitive environment variables by hiding their values in .env files
Tiny, zero-dependencies, package which tries to mask sensitive data in arbitrary collections (map, set), errors, objects and strings.
A Pi extension that replaces sensitive data with realistic placeholders before it reaches the LLM provider, then restores it locally for users and tools.
DataAnonymizer is an open-source personal data anonymization tool designed for GDPR compliancy
🔒 Enterprise-grade TypeScript library for masking sensitive data (cards, emails, phones, UUIDs, JWT) with security hardening, format preservation, and nested JSON support. Zero dependencies, GDPR compliant.
Prepare source code repositories for submission to LLMs by redacting sensitive data and excluding unwanted files
Access and manage the system clipboard across macOS, Linux, and Windows using the Model Context Protocol.
Zero-config, zero-dependency deep redaction of secrets and PII from any JavaScript value, by key name and value pattern.
sensitive information mask tool. one liner integrated with vue and react
PrivyPrompt protects sensitive data and risky AI-tool instructions before prompts or files are submitted to AI websites.
Bidirectional reversible desensitization middleware for AI agents. Masks sensitive data (API keys, credentials, PII) before LLM API calls and restores it after, preventing leakage when using external LLM providers.
A small VSCode extension to keep an eye on exposure of sensitive information. Created for personal use.
safe-to-send is a minimal VS Code extension to scan selected code (or full file) for sensitive data before copying for manual AI usage.
To associate your repository with the sensitive-data topic, visit your repo's landing page and select "manage topics."