Shypd.aiThe largest open index of AI toolsStratosphereLinuxIPS (Slips) is an open-source behavioral intrusion prevention system that uses machine learning to detect malicious network traffic. It offers real-time analysis, threat intelligence, and a graphical user interface.
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Slips is a powerful endpoint behavioral intrusion prevention and detection system that leverages machine learning to identify malicious behaviors in network traffic. Developed by the Stratosphere Laboratory, it can analyze network traffic in real-time, PCAP files, and network flows from tools like Suricata and Zeek/Bro. Slips combines machine learning models, over 40 threat intelligence feeds, and expert heuristics to gather evidence of malicious activity and trigger alerts. Key features include behavioral intrusion prevention, modularity, targeted attack and command & control detection, and adaptive HTTPS anomaly detection. It also provides both a console-based (Kalipso) and web-based graphical user interface for displaying detections with graphs and tables. Slips supports Docker implementation for easy deployment on Linux systems.
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