What role do AI-based anomaly detection systems play in network security?

AI-driven anomaly detection systems play a crucial role in identifying and mitigating network threats by continuously monitoring network traffic patterns and behavior to identify deviations from normal activities. These systems use machine learning algorithms to establish a baseline of normal network behavior and then flag any anomalous activities that could indicate a potential security threat. By providing real-time alerts, these systems help security teams quickly respond to potential threats, reducing the risk of cybersecurity incidents and data breaches. Additionally, AI-driven anomaly detection systems can enhance threat detection capabilities by identifying sophisticated and previously unseen threats that traditional signature-based systems may miss.