How does AI optimize event correlation in SIEM tools to improve threat detection accuracy?
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AI optimizes event correlation in Security Information and Event Management (SIEM) tools by analyzing and detecting patterns, anomalies, and trends within the massive amount of security event data generated by various sources. AI algorithms can learn from historical data and continuously improve their ability to identify and correlate events that may indicate potential security threats. By leveraging machine learning techniques, AI can automate the process of correlating events, reducing false positives, and enhancing the accuracy of threat detection in SIEM tools.