The role of Machine Learning in detecting cybersecurity threats involves analyzing data patterns and identifying anomalies that may indicate malicious activity. By using algorithms that learn from historical data, machine learning models can improve their accuracy in detecting potential threats over time. This technology can automate threat detection, providing real-time responses to emerging security issues. By recognizing patterns associated with cyberattacks, machine learning enhances traditional security measures, helping organizations to proactively defend against evolving cybersecurity threats and minimize risks effectively.