SentryCode: Real-time Auditor + Honeytokens for AI Coding Agents [P]
Mirrored from r/MachineLearning for archival readability. Support the source by reading on the original site.
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.
[link] [comments]
Discussion (0)
Sign in to join the discussion. Free account, 30 seconds — email code or GitHub.
Sign in →No comments yet. Sign in and be the first to say something.