Network anomaly detection identifies unusual or suspicious activities within a network to prevent cyber threats. It involves techniques like statistical analysis, machine learning, and behavioral analysis to detect anomalies in network behavior and entities like network devices and security systems. Data sources like network logs and traffic logs, along with tools like intrusion detection systems and network monitoring tools, are used for anomaly detection.
