Learn AI and Machine Learning in SIEM by understanding how intelligent technologies enhance security monitoring, threat detection, and incident response in modern cybersecurity environments. This training covers how SIEM platforms use artificial intelligence and machine learning models to analyze large volumes of security data, identify anomalies, and detect suspicious activities across networks, systems, and applications. It explains how AI-driven analytics improve the detection of insider threats, malware attacks, account compromise, and advanced cyber threats through behavioral analysis and predictive insights. You will learn how to interpret analytics results, reduce false positives, automate alert prioritization, and strengthen security investigation workflows. The course also covers anomaly detection, threat intelligence integration, automated response strategies, risk scoring, and AI-powered security analytics for proactive cyber defense. It focuses on building intelligent, data-driven security operations using advanced SIEM technologies.
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