Machine learning plays a significant role in cybersecurity by enhancing the capability to detect and respond to threats in real-time. Through data analysis and pattern recognition, machine learning algorithms can identify abnormal behaviors indicative of security breaches or anomalies. As threats evolve, these algorithms continuously learn from new data, improving their accuracy and response effectiveness. This proactive approach not only optimizes threat detection but also automates response strategies, allowing organizations to swiftly mitigate risks and strengthen their overall cyber defenses.