AI & ML Integration with Cybersecurity: Core Benefits & Elements

Artificial intelligence (AI) and machine learning (ML) are critical for a mature cybersecurity program. For instance, AI and ML enable organizations to detect time, count, and pattern anomalies; compute a risk score for every user and entity in the network; and decrease false positives. Better yet, instead of writing threat detection rules, security analysts can rely on the system learning on its own and alerting them about potential threats. Join us in this webinar to learn how AI and ML in cybersecurity have evolved, what they hold for us in the future, and the main elements of an ML-based SIEM solution. We'll also cover: - Scoring risks for proactive security - Modeling anomalies for added flexibility, precision, and effectiveness - Analyzing peer groups and seasonal factors to improve risk scoring