Hypergraph

Startup

Location
Hall 8.1 - 4YFN Stand 8.1B32.5

Information

Hypergraph modernizes Network Intrusion Detection by using Graph Neural Networks to analyze the relationships hidden in network traffic. Instead of treating events as isolated logs or flow records, we model traffic in its natural graph form, capturing interactions between IPs, services, and communication patterns over time. This relational approach enables earlier and more reliable detection of complex threats that signature-based tools miss, and improves robustness compared to traditional ML models that rely on individual features. Hypergraph delivers scalable, automated detection designed for real-world networks, helping security teams reduce false positives and respond faster with high-confidence alerts.