HeimWall

HeimWall

Stop leaking API keys and secrets into your prompts

A
@ataarin
Published on Jul 19, 2026
Visit site
21 PeerPush
🥇
Ranked #1
Product of the Day
PeerPush

Details

Pricing
Free
Platforms
Desktop

Discovery signals

How AI and people discover HeimWall on PeerPush

AI-readyAI-readyWhether this product carries the structured data - use cases, audiences, platforms - that lets AI match it to the right questions.
Structured

Described for AI to match

Described for AI with use cases, audiences, platforms and pricing so assistants can match it to the right questions.
Discoverable nowDiscoverable nowWhether this product is queryable through the PeerPush API and MCP right now.
Live

Via the PeerPush API and MCP

Queryable through the PeerPush API, MCP and semantic search from day one.

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

Screenshot 1 of HeimWall

Reviews (4)

Average 4.8 out of 5

4.8

Based on 4 reviews

5
3
4
1
3
0
2
0
1
0

Comments (5)

liox_hl
@liox_hl

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.

galdayan1895
@galdayan1895

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.

omribenshoham
@omribenshoham

Great tool for protecting sensitive data in AI workflows. The on-device secret detection is a game-changer for developers working with LLMs.

galdayan1895
@galdayan1895

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