How Security Analysts Master Incident Response with Behavioral Analytics
Security analysts face more obstacles in their day-to-day operations than most realize. Detecting sophisticated attacks that involve lateral movement is difficult and time-consuming. However, analysts spend even more time on mundane tasks such as assembling incident timelines, determining how to pivot through data, username to IP attribution, and even simply finding the asset owners.
This webinar will explore how machine learning, behavioral modeling, and statistical analysis--the pillars of User and Entity Behavior Analytics (UEBA) solutions--can be used to improve SOC efficiency and automate the crucial tasks analysts routinely face.
Attend this webinar and learn:
- How to quickly identify lateral movement with behavioral modeling
- How machine learning and statistical analysis can provide valuable context for investigation
- How incident investigation can be accelerated with session-based user activity timelines
- How to increase analyst resources for proactive security measures such as threat hunting
