
Unified views
- Create analytic models with richer context of user and entity behaviors across a disparate set of data sources with unified views
- Define relationships between the various security data types for joining log data with user, network, and endpoint entity data in both relational and graph models
- Reduce attacker dwell time by discovering and assessing adversarial behavior faster and with fewer resources

Downstream analytics
- Open data model enables downstream analytics for sharing and reuse of threat detection models, algorithms, and analytics
- Collect and analyze the standard security event logs and alerts from the most common entities such as network, user, and endpoint, as well as the relevant contextual data

Operationalized data lake
- Turn your Snowflake data cloud into a security data lake by applying our open data model
- Use cases enabled by the creation of logical domain groups from event data
- Support to deliver dashboards, ML-based analytics, and interactive query capabilities