After extracting the correct fields, the next step to include an eventtype in a data model node is to apply the correct tags. Tags help in categorizing and identifying the events properly, which aligns them with the data model schema and ensures they can be effectively used within data model nodes.

The appropriate role for a security team member taking ownership of notable events in the incident review dashboard is the ess_analyst. The ess_analyst role is specifically designed for individuals who will be responsible for owning and performing status changes on notable events, ensuring they can efficiently manage incident reviews. While an ess_admin also has the capability, assigning the ess_analyst role aligns better with specific responsibilities and follows best practices.

Urgency in a notable event is determined by combining the priority of the asset or identity with the severity of the event. The priority represents the importance or criticality of the asset or identity, which helps in defining how urgent a response should be when a notable event occurs.

The risk framework adds a numeric score to an object (user, server, or other type) to indicate increased risk. This score quantifies the level of risk associated with the object, enabling security teams to prioritize their actions based on the severity of the risk.

CIM (Common Information Model) data models in Splunk are designed to normalize data across various sources, allowing for consistent searching and reporting. By default, these data models are configured to search across all indexed data to ensure they capture all relevant information. This default behavior enables comprehensive searches without needing to specify individual indexes.