CloakRoom: AI Agent Secret Isolator
Local secret masking and restoration for developers using AI agents, preventing sensitive data leaks to cloud models.
- Problem
- Users worry about sending sensitive data (e.g., API keys, passwords) to cloud AI models, but local models aren't capable enough, forcing hybrid setups (post 92972). Meanwhile, AI coding session storage often contains redundant data like base64 images, consuming disk space and potentially sensitive info (post 93151).
- Solution
- CloakRoom intercepts requests to AI agents locally, automatically identifying and replacing sensitive information with placeholders, then restoring real values locally upon response; it also provides a session cleanup tool to remove redundant fields and images from AI coding sessions, reducing disk usage and leak risks.
- Users
- Developers, security engineers, and privacy-conscious teams handling sensitive data with cloud AI agents (e.g., Claude, Codex).
- MVP
- Local proxy intercepts HTTP requests, identifies common secret formats (API keys, passwords) and replaces with placeholders; restores locally on response; CLI tool for one-click cleanup of AI session storage; support custom sensitive word lists; simple desktop UI toggle.
- Revenue
- Open-source core + paid enterprise edition (team policy management, audit logs), or one-time purchase desktop app.
- Why now
- AI agent usage is surging, but data privacy tools are scarce—indie developers can quickly build lightweight local solutions.