The original headline is: "Audit Your AI Dev Tool's Data Boundary Before You Paste Real Code Into It"

Short summary

A practical guide to auditing AI development tools for data leakage before pasting real code into them. It provides a data-classification decision matrix (C0–C3), a canary-leak test using mitmproxy and tcpdump, and a prevent/detect/recover framework. The article includes a disclosure that it was prepared as part of MonkeyCode's product outreach, though the testing methodology is vendor-agnostic.

• •Data-classification matrix (C0–C3) mapping allowed endpoints per sensitivity level
• •Canary-leak test fixture using mitmproxy and tcpdump to verify data egress boundaries
• •Default-deny policy: unclassified data treated as C3 until documented otherwise

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