AIBullisharXiv – CS AI · 9h ago7/10
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GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks
Researchers introduce GenTI, an LLM-driven framework that automatically generates intrusion detection and prevention system (IDPS) rules for zero-day and unseen attacks. The benchmark dataset aggregates over 150,000 Snort/Suricata rules and 50,000 YARA signatures with structured cybersecurity intelligence, achieving 87.4% detection accuracy on unseen threats while reducing false positives from 8.5% to 2.3%.