Exabeam pioneered the use of machine learning (ML) for user and entity behavior analytics (UEBA) and automating the TDIR workflow.
Our ML models provide:
- Event Correlation: Correlates and analyzes raw, stateless events into a coherent history of user and device activities for more accurate alert triage.
- Behavioral Modeling: Establishes a baseline of normal activity for every user and device by analyzing more than 750 behavior-based models.
- Peer Grouping Analysis: Dynamically determines a user’s peer group and a host’s function to detect anomalous activity more accurately.
- Threat Analytics: Detects specific threats, such as algorithmically generated malicious domains (DGA).
- Risk-Prioritized Alerts: Adjusts the risk score of alerts to reduce false positives and focus analysts on credible threats.







