mxcrafts/ltrack
Security Observability Framework for ML/AI Model File Loading
This tool helps MLOps engineers, security researchers, and developers ensure the security of their machine learning and AI models. It monitors for suspicious activities like unauthorized access or tampering when models are being loaded and executed. It takes your model files and execution environment as input and produces real-time alerts and detailed logs of file, process, and network activities, helping you identify and prevent security risks.
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Use this if you need to monitor and secure your machine learning model loading and execution processes against vulnerabilities, unauthorized access, and unusual activities.
Not ideal if you are looking for a general-purpose system monitoring tool for non-ML/AI applications or if your environment doesn't meet the Linux kernel and Go version prerequisites.
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42
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Language
C
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Last pushed
Aug 20, 2025
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