HeimWall is a macOS-first observability tool for AI coding workflows that detects secrets, PII, and confidential data in prompts before they leave the device. It helps individual developers and teams using Cursor, Claude Code, Copilot, and Windsurf keep prompt content local while exposing only redacted signal to managers.
HeimWall is a macOS-first observability product for the “agentic workforce,” focused on AI coding tools used by engineers. It watches prompts in tools such as Cursor, Claude Code, Copilot, and Windsurf, then detects secrets, PII, and other confidential data before the prompt leaves the device.
The core design is local-first: capture, detection, and redaction happen on the engineer’s machine. In the default team workflow, managers see redacted signal such as category breakdowns, Safety Score, and trends, while raw prompt text stays on the device unless a gated investigation flow is used.
A lightweight Mac menu-bar app reads the prompt composer locally through macOS Accessibility, clipboard polling, and a local TLS proxy. This lets HeimWall observe prompts even when the AI tool talks directly to its own cloud.
HeimWall uses 25+ hand-written regex rules for hard-shaped secrets such as AWS keys, tokens, private keys, and SSNs, with an on-device classifier as a fallback for fuzzier leaks.
The product masks matches before anything is recorded or sent. Team dashboards receive only category, severity, masked snippet, and a hash for correlation, not the raw prompt body.
For teams, a manager dashboard summarizes Safety Score, category breakdowns, and trends across engineers while keeping prompt content local to the device.
HeimWall’s detection engine is shared across tools, so coverage can extend across Cursor, Claude Code, Copilot, and Windsurf without separate per-tool systems.
Enterprise plans add policy and operations features such as custom rules, SIEM export, Slack and PagerDuty integrations, SAML SSO, SCIM provisioning, and investigation mode controls.
An engineer working in Cursor or Claude Code can get local warnings when a pasted secret, token, or PII pattern is detected, helping catch mistakes before the prompt is submitted.
Engineering leaders can review redacted trends and Safety Scores across a team to understand where risky prompt behavior is happening without reading prompt content.
Security and platform teams can roll the agent out through MDM tools such as Jamf, Kandji, or Intune for a signed, notarized installation flow that is intended for fleet deployment.
Organizations that need stronger controls can use enterprise features such as policy rules, SIEM export, Slack or PagerDuty integrations, SAML SSO, and SCIM provisioning.
If an incident requires deeper review, a gated Investigation Mode can expose raw prompts only with second-factor step-up, written justification, employee notification, and a time-box.
HeimWall runs as a local macOS menu-bar agent. It instruments the prompt composer in tools such as Cursor, Claude Code, Copilot, and Windsurf, then applies on-device detection before any data leaves the machine.
The free individual app is local-only and does not use an account or org. The team product enrolls the same agent in an organization so redacted signal can flow to a manager dashboard.
Raw prompts are inspected locally, then redacted metadata is sent if the product is used in a team context. The dashboard receives category labels, severity, and a masked snippet; raw prompt text is not sent by default.
HeimWall supports macOS first, including Apple Silicon and Intel Macs on macOS 13+. The FAQ says Windows support is on the roadmap and Linux is later.
If the agent crashes, it fails open: prompts continue to go through. A watchdog restarts the agent and the dashboard flags uptime anomalies.
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