In Splunk ES, what primarily informs the risk scoring of events?

In Splunk Enterprise Security, the risk scoring of events is primarily informed by a pre-defined risk scoring mechanism. This mechanism is established through a combination of analytics, context, and best practices that take into account various attributes of the security events. Risk scoring allows organizations to prioritize their security incidents based on their severity and potential impact.

The pre-defined risk scoring mechanism includes the evaluation of event data according to various factors such as source, type, and historical behavior, incorporating intelligence from threat feeds and other security frameworks. This structured approach enables security teams to focus on the most critical events that require immediate attention, rather than manually assessing every incoming event.

In contrast, while the other choices—such as the number of users affected, the duration of the event, or the type of data being processed—can contribute to the risk assessment, they are not the primary determinants in the overall risk scoring process. Instead, these factors might be integrated into the broader risk scoring framework but do not singularly define the risk value of each event.