AI for Real-Time Intrusion Detection Systems

As modern networks become more distributed and high-throughput, traditional intrusion detection systems struggle to keep pace with evolving attack patterns. Signature-based approaches, while effective for known threats, fail to detect zero-day exploits and polymorphic attacks. The integration of artificial intelligence into intrusion detection systems introduces adaptive, data-driven capabilities that enable real-time threat detection, anomaly identification, and automated response across comple