Redact

Redact catches credentials and personally identifying information before it reaches LLM chat boxes. Detection runs locally inside the user's browser using a small neural network bundled in the extension package.

HOW IT WORKS

When the user pastes into a supported chat box, Redact intercepts the paste event and scans the text in a Web Worker. Inference completes in about 150 milliseconds on a modern laptop after the model has loaded. The model recognizes credentials, social security numbers, credit card numbers, email addresses, and phone numbers. A regex safety net adds high-precision detection for canonical credential formats including AWS access keys, GitHub personal access tokens, Anthropic API keys, JWTs, database connection URLs, and private key blocks.

INTERACTION

Each entity type has a Block / Warn segmented toggle in the popup's "Sensitivity per type" section. When a blocked item is detected the user can choose one of four flows: a quick prompt, a full-screen block, a cooldown after the first prompt, or silent auto-redaction.

WHERE IT RUNS