
HeimWall
Stop leaking API keys and secrets into your prompts
Details
- Follow on
- @HeimWallAILinkedIn
- Use Cases
- AI AutomationComplianceai security
- Target Audience
- DevelopersSecurity TeamsEngineering Managers
- Pricing
- Free
- Platforms
- Desktop
Discovery signals
How AI and people discover HeimWall on PeerPush
About HeimWall
HeimWall catches leaked secrets, credentials, and PII before they reach AI coding tools like Cursor, Claude Code, and Copilot, without compromising engineer privacy. For engineers, it's a free 15MB macOS application that flags leakage in prompts in real time, in under 50ms, using 47 detection rules. Everything runs locally: no prompts uploaded, no content stored, no cloud DLP in the loop. For organizations, an early-access dashboard shows security leads leak trends and risk signals across the team without ever exposing what anyone typed. Managers see signal, not content. What makes it different: detection happens on-device before data leaves the machine, not after it lands in a vendor's logs. And it never blocks development, HeimWall provides soft notifications instead of hard blocks, so the friction budget stays intact. The outcome: engineers stop pasting live API keys into AI assistants without changing how they work, and security teams get visibility they currently have zero of.
Product Video
Watch a video demo of HeimWall.
Screenshots
Reviews (4)
Average 4.8 out of 5
Based on 4 reviews

Comments (5)
Such an underrated problem — everyone's pasting env files and tokens into Cursor/Claude without thinking twice. Glad someone built a dedicated guardrail for this instead of leaving it to chance.
This is exactly what was missing in our dev workflow - catching API keys before they leak into prompts. The local detection is key for maintaining security without slowing down iteration.
@galdayan1895 thank you gal
Great tool for protecting sensitive data in AI workflows. The on-device secret detection is a game-changer for developers working with LLMs.
@omribenshoham thank you!
great idea
@brenton Thanks, we appreciate it.
Addresses a real security gap - developers constantly risk leaking credentials into AI tools. The local-first approach (47 detection rules running in 50ms) is perfect - no data leaves your machine. Should be mandatory for anyone using AI as
@galdayan1895 Thank you for your support!