Machine learning (ML) is used in network security to analyze vast amounts of data and detect abnormal patterns that may indicate potential intrusions or attacks. By learning the normal behavior of network traffic over time, ML can identify deviations from the norm, such as unusual traffic spikes, unauthorized access attempts, or other anomalous activities that may signify a security breach. This helps improve the detection of both known and unknown threats.