In light of recent privacy concerns arising from local AI coding agents performing telemetry, environmental scanning, and hidden cue fingerprinting, I've open-sourced SentryCode—a kernel-level behavior auditing tool. It logs file/network/cue activity, uses honeypot tokens for zero-false-positive data breach detection, detects steganographically encrypted covert channels, provides tamper-proof audit logs, and supports policy enforcement. All functions run locally without any outbound connections. The demo program can be run directly using pre-compiled binaries. GitHub: https://github.com/byte271/sentrycode Feedback from users of local AI agents is welcome. submitted by /u/cyh-c [link] [Kommentare]
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