artificial intelligence network monitoring

A practical, Linux-native guide to building an AI-driven network monitor that turns Zeek/Suricata/tshark flow metadata into actionable anomalies using Python (pandas, scikit-learn) and Bash: install tools, capture conn.log, train/score an Isolation Forest, and automate alerts via systemd/jq, with tuning, troubleshooting, and real-world detections (DNS tunneling, lateral movement, C2/mining, scans) without deep packet inspection.