Which AI technique is commonly used in cybersecurity to detect anomalies in network traffic?

​In cybersecurity, Machine Learning (ML) is commonly employed to detect anomalies in network traffic. ML algorithms can analyze vast amounts of network data to identify patterns and deviations indicative of potential security threats. This approach enables the detection of both known and unknown attacks by learning from the data itself, rather than relying solely on predefined signatures.