To stay on top of the rapidly evolving threat landscape, organizations must add new technology to their security arsenals. While traditional SIEM functionality is still important, security teams must augment their incident detection capability with machine learning and analytics to tackle more advanced threats.
Given how advanced cyberattacks are today, manually creating more alerting rules in a SIEM solution alone simply isn't an effective way of detecting threats. Organizations need to include anomaly-based analytics to strengthen incident detection mechanisms.
This is why user and entity behavior analytics (UEBA) is quickly becoming a must-have component for security operation centers. UEBA creates a baseline of user activities and dynamically monitors the network for anomalies by leveraging machine learning and statistical analysis. This way, UEBA technology can discover threats that basic rule-based alerting mechanisms fail to capture.
In this webinar, we'll explore how security teams can improve their threat detection and incident response plan with UEBA.