Data-driven threat hunting is a proactive approach to cybersecurity that involves using data and analytics to identify and hunt for threats that may have evaded traditional security controls. This approach involves collecting and analyzing large datasets from various sources, including network traffic, endpoint data, and threat intelligence feeds. By using advanced analytics and machine learning techniques, security teams can identify patterns and anomalies that may indicate a threat.