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Cloud-delivered Advanced AnalyticsExabeam Advanced Analytics Administration Guide

What Is an Exabeam Rule?

So what exactly is a rule anyway? There are two types of Exabeam rules:

  • Model-based

  • Fact-based

Model-based rules rely on a model to determine if the rule should be applied to an event in a session, while fact based rules do not.

For example, a Fireye malware alert is fact based and does not require a model in order to be triggered. On the other hand, a rule such as an abnormal volume of data moved to USB is a Model-based rule.

Model-based rules rely on the information modeled in a histogram to determine anomalous activities. A rule is triggered if an event is concluded to be anomalous, and points are allocated towards the user session in which the event occurred. Each individual rule determines the criticality of the event and allocates the relevant number of points to the session associated with that event.

Taken together, the sum of scores from the applied rules is the score for the session. An example of a high-scoring event is the first login to a critical system by a specific user – which allocates a score of 40 to a user’s session. Confidence in the model must be above a certain percentage for the information to be used by a rule. This percentage is set in each rule, though most use 80%. When there is enough reliable information for the confidence to be 80% or higher, this is called convergence. If convergence is not reached, the rule cannot be triggered for the event.