HeimWall

What is HeimWall?

HeimWall is an on-device observability agent for engineering teams that monitors AI coding tools like Cursor, Claude Code, and Copilot. It captures prompts locally to detect leaked secrets, PII, and confidential data without blocking workflows or reading the actual prompt content. The product provides managers with redacted signal—categories, severity levels, and trends—while raw prompt text never leaves the engineer's machine. It’s designed to fill the visibility gap created by rapid enterprise adoption of agentic chat tools, offering signal without surveillance.

Application scenarios

Secret leak detection
Automatically catches API keys, tokens, private keys, and SSNs pasted into AI coding tools by accident.
Cross-tool monitoring
Tracks usage across multiple AI assistants (Cursor, Claude Code, Copilot, Windsurf) from a single on-device agent.
Compliance oversight
Provides managers with a Safety Score and category breakdown to meet data governance requirements without blocking engineers.
Onboarding and coaching
Uses soft notifications (e.g., a three-second toast) to educate engineers in the moment, reducing repeated mistakes.
Incident investigation
Allows managers to open sealed payloads only with 2FA, written justification, and employee notification—treating investigation as a last resort.
MDM rollout
Deploys via MDM/Jamf for IT-managed macOS fleets, ensuring consistent coverage across the team.

Core Features

On-device capture
A 15MB menu-bar agent reads the composer via macOS Accessibility, clipboard polling, and a local TLS proxy—before data hits the network.
Tiered detection
25+ handwritten regex rules catch deterministic patterns (AWS keys, tokens, SSNs) in under 50ms, with a pretrained on-device classifier as a fuzzy fallback.
Redacted at source
Matching values are masked immediately before any record is written; only category, severity, masked snippet, and a hash for correlation ever leave the machine.
Manager dashboard
Displays redacted metadata as a Safety Score, category breakdown, and trend—no raw prompt text is visible.
Gated investigation
Opening a sealed payload requires 2FA, written justification, and employee notification, ensuring privacy-first escalation.
Cross-tool visibility
Monitors Cursor, Claude Code, Copilot, and Windsurf from one agent, providing unified signal across multiple tools.
Soft notifications
Uses a three-second toast to teach engineers at the source, avoiding hard blocks that kill velocity.
Zero training on prompts
The classifier never trains on user prompts, preserving data privacy.

Target users

Engineering teams and their managers, particularly in organizations using multiple AI coding assistants. The product is designed for leaders accountable for team-wide data security and compliance, as well as IT administrators managing macOS-first environments via MDM/Jamf.

How to use HeimWall?

Install the macOS agent via MDM/Jamf or direct download. The menu-bar app runs silently, capturing prompts from AI tools like Cursor, Claude Code, Copilot, and Windsurf. Detection and redaction happen automatically on-device. Managers access the dashboard to view redacted signal (Safety Score, categories, trends) and can investigate specific incidents only through a gated 2FA process with written justification and employee notification.

Pricing and free trial

The website text does not mention pricing or free trial options.

Effect review

HeimWall addresses a real pain point—engineering teams adopting AI coding tools at record speed without visibility into what data is being pasted into prompts. The on-device architecture is a strong privacy play, ensuring raw prompts never leave the machine while still giving managers actionable signal. The tiered detection (regex + classifier) balances speed and accuracy, and the friction-budget approach (soft notifications over hard blocks) respects developer workflow. However, the product is macOS-first and requires MDM/Jamf for team rollout, which limits its reach to Windows or Linux environments. For teams already deep in the Apple ecosystem, it offers a practical, non-invasive observability layer that prioritizes coaching over surveillance.

Frequently Asked Questions

What does HeimWall monitor?

HeimWall monitors AI tools like Cursor and Copilot to detect leaked secrets or PII, providing visibility without blocking usage.

How does HeimWall ensure privacy?

It offers signal without surveillance, meaning it detects risks without tracking individual user actions or blocking tools.

What types of data can HeimWall detect?

It can detect leaked secrets (e.g., API keys) and personally identifiable information (PII).

Is HeimWall compatible with all AI coding tools?

It currently supports tools like Cursor and Copilot, with potential for expansion.

Does HeimWall block any AI tool usage?

No, it only provides visibility and alerts; it does not block or interrupt workflows.

Who can benefit from HeimWall?

Engineering teams and security teams seeking to monitor AI tool usage for data leaks without compromising developer productivity.