Which data model populated the panels on the Risk Analysis dashboard?

The Risk Analysis dashboard within Splunk Enterprise Security relies on the Risk data model to populate its panels. The Risk data model is specifically designed to aggregate and represent risk scores associated with entities such as users, assets, and vulnerabilities, based on events and alerts ingested into Splunk. This data model leverages various data sources and correlates them to provide a comprehensive view of risk exposure.

The Risk data model is essential for effective risk management as it enables organizations to visualize and analyze risk-related metrics. It draws on threat intelligence data along with internal event data to compute risk scores, categorizing and prioritizing risks based on severity and potential impact. Consequently, the panels on the Risk Analysis dashboard are populated with insights derived directly from this data model, allowing security teams to make informed decisions regarding risk mitigation strategies.

In contrast, while the other data models like Audit, Domain Analysis, and Threat Intelligence serve specific purposes, they do not directly contribute to the information presented on the Risk Analysis dashboard. The Audit data model focuses on tracking user activity and compliance, Domain Analysis provides a more holistic view of entities and their relationships, and Threat Intelligence aggregates threat data from external sources. Therefore, the Risk data model is the appropriate choice for populating the Risk Analysis dashboard.