Ltrack icon

Ltrack

33

Monitors and analyzes potential security risks during the loading and execution of machine learning and artificial intelligence model files.

About

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.

Key Features

  • Monitors file operations in specified directories
  • 33 GitHub stars
  • Tracks execution of specified commands
  • Monitors network activity on specific ports and protocols
  • Offers flexible monitoring policy configuration via TOML files
  • Supports log rotation, compression, and retention policies

Use Cases

  • Meet regulatory requirements by enforcing strict access controls and audit trails.
  • Enhance security in MLOps pipelines by auditing model deployment processes.
  • Safeguard experimental models and datasets from unintended access or tampering.