This eBook provides a comprehensive overview of modern threat detection, emphasizing the need for continuous monitoring, AI-driven analytics, and centralized visibility. It defines threat detection as the process of identifying and analyzing malicious activity across digital environments, using techniques like machine learning and behavioral analytics to uncover both known and unknown threats. As highlighted on page 3, organizations face challenges such as limited visibility, lack of automation, and skills shortages. The guide explains how SIEM platforms serve as the foundation of detection by aggregating and analyzing logs, while AI enhances accuracy and reduces false positives. Diagrams on page 7 illustrate cloud-native and self-hosted SIEM workflows. Overall, it shows how modern, data-d

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