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Ltrack
Monitors and analyzes potential security risks during the loading and execution of machine learning and artificial intelligence model files.
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Ltrack is an open-source security observability framework for ML/AI model file loading, utilizing eBPF and Golang for low-overhead, high-performance monitoring. It helps identify vulnerabilities, unauthorized access, and anomalous activities in ML/AI workflows by focusing on critical system behaviors. Ltrack integrates with logging systems for real-time alerts and supports plugins for custom detectors, simplifying deployment with Golang's static binary packaging.
Data Science & ML
Analytics & Monitoring
Security & Testing
