When threats occur, understaffed security operations centers (SOCs) lack sufficient access to contextual information. This lack of visibility is a key problem that LogRhythm CloudAI for User and Entity Behavior Analytics (UEBA) are designed to solve.
In this on-demand webcast, Dave Shackleford, senior SANS instructor and analyst, joins Seth Goldhammer, LogRhythm senior director of product management, to explore how CloudAI uses supervised and unsupervised learning to establish baselines and monitor user behavior.
Shackleford reviews LogRhythm CloudAI and he runs through various use cases, such as insider threat, account compromise, and admin abuse.
In this webcast, you’ll learn how LogRhythm CloudAI:
- Detects malicious user activities
- Scores user activities, provides recommendations, and takes automated actions
- Supports threat hunting and incident response capabilities
- Improves the machine learning experience through supervised and unsupervised learning
Watch the webcast now to understand how LogRhythm CloudAI can help you detect dangerous user behavior and rapidly mitigate threats.