How does a SIEM system utilize machine learning for enhanced threat detection?
- Analyzing patterns and anomalies in large datasets
- Encrypting communication channels
- Identifying software vulnerabilities
- Managing network configurations
A SIEM (Security Information and Event Management) system employs machine learning to enhance threat detection by analyzing patterns and anomalies in large datasets. Machine learning algorithms can identify unusual behaviors, deviations from normal patterns, and potential security threats. Understanding this integration is crucial for leveraging advanced capabilities in threat detection within SIEM solutions.__________________________________________________
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