Machine Learning in Intrusion Detection Systems (IDS) enhances the ability to identify and respond to security threats by leveraging data-driven models to detect anomalies and patterns indicative of malicious activity. It offers dynamic, scalable solutions that improve over time, adapting to new threats and reducing false positives compared to traditional rule-based systems.