Machine learning techniques are gaining importance in cybersecurity for detecting and preventing cyber-threats. These techniques include feature reduction, regression analysis, unsupervised learning, association mining, and deep learning. Machine learning algorithms can analyze cybersecurity data to identify anomalies, malicious behavior, and patterns of security incidents. By applying these techniques, organizations can make intelligent judgments and take proactive measures against cyber-attacks.