Custodian Labs vs HeimWall

from custodian_labs import Custodian model = Custodian( model="gpt-4o", system_prompt="You are a helpful assistant.

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...

About Custodian Labs

from custodian_labs import Custodian model = Custodian( model="gpt-4o", system_prompt="You are a helpful assistant. The proprietary Guardian Layer is the guardrail that detects PII and puts you in control of how it's handled before it reaches any model. Give your agent long-term memory and document retrieval without configuring embeddings or vector DBs. Your agent logic stays exactly as it is; only the model underneath changes. No database to provision, no vector store to connect, no hosting to manage.

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.