Data analytics in cybersecurity refers to the process of examining large volumes of raw data to uncover patterns, correlations, and insights that can help identify threats, detect anomalies, and improve security measures. By leveraging statistical analysis, machine learning, and visualization tools, cybersecurity professionals can proactively monitor network activity, detect breaches, and respond to incidents more effectively. Data analytics enables organizations to make informed decisions, optimize security operations, and reduce the risk of cyberattacks by turning complex data into actionable intelligence.