SentryCode: Real-time Auditor + Honeytokens for AI Coding Agents [P]

Reddit r/MachineLearning 07/02/26, 03:48 AM Tools

security privacy auditing honeytokens steganography policy-enforcement kernel-level

Summary

SentryCode is an open-source kernel-level behavior auditing tool for AI coding agents that logs file/network/cue activity, uses honeypot tokens for zero-false-positive data breach detection, detects steganographic covert channels, and enforces policies, all running locally without network calls.

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.

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