Towards Anomaly Detection using Explainable AI

Anomaly detection in networks is an important aspect of network security, enabling organizations to identify and respond to unusual patterns of activity that may indicate a security threat or performance issue. By identifying and addressing anomalies in real-time, organizations can reduce the risk of data breaches and other security incidents, as well as ensure the optimal performance and reliability of their network infrastructure. However, implementing effective anomaly detection in good-quality networks is a significant challenge, requiring careful consideration of several key factors.