An Active Directory user just accessed a large volume of files from a system they have never used before. Another user who normally works from 9am to 5pm logged in to a critical server at 3am. Anomalies like these can be the telltale signs of an attack in your network, and must be identified and investigated before it's too late.
Traditional monitoring solutions need to be augmented with machine learning (ML)-based analytics to keep pace with the rapidly advancing threat landscape. Register for this webinar to learn how you can monitor your network for anomalies by using ML-based solutions.
Traditional security information and event management (SIEM) solutions and their limitations.
Crucial anomalies you need to watch out for.
How user and entity behavior analytics (UEBA) works.
Log360's UEBA approach to anomaly detection.
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