Security Analytics and Threat Detection involves analyzing security data to identify, investigate, and respond to potential cyber threats in real time. It uses machine learning, behavioral analysis, and correlation of events from logs, networks, endpoints, and cloud environments to detect suspicious activity. This approach helps organizations identify malware, ransomware, unauthorized access, insider threats, and abnormal user behavior early. Security analytics tools provide dashboards, alerts, and forensic insights for faster incident response and root cause analysis. It improves visibility across IT infrastructure and strengthens overall cybersecurity posture. It also supports compliance monitoring and continuous threat intelligence. This method is widely used in enterprise security operations centers (SOCs) and cloud security platforms.