HeimWall vs Slopsift

Signal, not surveillance. See how your engineers use Cursor, Claude Code, and Copilot: catch leaked secrets, PII, and confidential data, without blocking them or reading...

Catch AI writing tells with a custom-trained NLP parser, not a word list. SlopSift runs locally in your browser, CLI, or VS Code, with exact, explainable findings.

About HeimWall

Signal, not surveillance. See how your engineers use Cursor, Claude Code, and Copilot: catch leaked secrets, PII, and confidential data, without blocking them or reading their prompts. Nothing sits in your send path, your prompt reaches the tool untouched, and what you type into an AI tool is never sent to us. To read your prompt before it is sent, the app reads the composer through the macOS Accessibility API and watches the clipboard. Accessibility is a wide permission and macOS does not offer a narrower one for this.

About Slopsift

Catch AI writing tells with a custom-trained NLP parser, not a word list. SlopSift runs locally in your browser, CLI, or VS Code, with exact, explainable findings. SlopSift uses a small dependency parser we trained to map the relationships between words and find canned arguments, unsupported claims, and filler. As an AI language model, let's delve into the load-bearing idea behind this solution. To be fully transparent, I am genuinely open to both designs. Notes attached, and they are a fuller record than the summary.