Autonomix: Empowering Network Security with DRLA for Anomaly Detection

Abstract

Autonomix, a groundbreaking framework, revolu- tionizes network security via Deep Reinforcement Learning (DRLA) for anomaly detection. It autonomously analyzes net- work traffic, pinpointing suspicious patterns indicative of security breaches or performance issues. DRLA empowers Autonomix to continuously learn and adapt in real-time, interpreting complex network data and identifying subtle anomalies that evade tradi- tional methods. This translates to reduced manual intervention and an improved security posture. Evaluations validate Au- tonomix’s superior performance against conventional techniques, signifying a significant advancement in network defense against ever-evolving cyber threats.