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Cyber Threat Hunting is a proactive approach to detecting cyber threats that aims to identify potential intrusions before they can cause damage. It involves continuously searching through networks and systems to detect indicators of compromise (IoCs) and suspicious activities that may indicate the presence of an advanced persistent threat (APT). By actively seeking out threats rather than simply reacting to alerts, cyber threat hunting helps organizations stay ahead of potential attacks and minimize their impact. As part of Intrusion Detection, Cyber Threat Hunting uses advanced analytics and machine learning techniques to analyze large volumes of data from various sources, such as network traffic logs, endpoint data, and security alerts, in order to identify patterns and anomalies that may indicate a threat. By combining human intuition with advanced technology, cyber threat hunting provides a powerful tool for organizations seeking to enhance their cybersecurity posture and protect against sophisticated attacks.