Summary
Guardd is a Linux-based host anomaly detection system that leverages the Isolation Forest machine learning algorithm. It uses eBPF to collect execution and network events, grouping them into 60-second windows to create feature vectors. These vectors, comprising counts of unique processes, files, IPs, and ports, are then scored by the model to identify unusual activity.
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