EventCode 4104 represents PowerShell Script Block Logging , making it the relevant telemetry for inspecting PowerShell code executed in an environment. The question specifically ties the detection requirement to PowerShell Script Block Logging and therefore directly points to 4104.
Script Block Logging provides visibility into PowerShell script content after PowerShell has processed the command or script block. From a detection-engineering perspective, this can expose suspicious commands, modules, functions, credential-access behavior, encoded or obfuscated PowerShell content, and scripts associated with offensive frameworks. An engineer can search this telemetry for characteristics associated with the behavior discovered during the red-team exercise and subsequently operationalize reliable indicators into a detection.
EventCode 4624 , by comparison, represents a successful Windows logon and can be useful in authentication and lateral-movement analysis, but it is not the PowerShell Script Block Logging event explicitly requested.
The remaining distractor event codes do not represent the logging mechanism identified in the question.
The distinction matters because endpoint detections depend on selecting telemetry that observes the relevant layer of attacker behavior. Here, PowerShell execution content-not merely authentication-is the required visibility source.
Study Guide topics: PowerShell logging, EventCode 4104, endpoint telemetry, behavioral detection, red- team findings, Windows security monitoring.

The SOC can implement this automation using either an Adaptive Response Action (triggered from a notable or event) or an Input Playbook (triggered when a URL is submitted for analysis).
Both approaches allow automated checks against a remote URL filtering list to enrich and contextualize findings.

The user field is the normalized CIM field for user activity across data sources. Reviewing and using this field ensures that data from different sources is properly aggregated, enabling consistent detection logic across CIM-compliant datasets.

The result in the image shows details of the Authentication Data Model (description, displayName, modelName, objectNameList, etc.). This output is generated by the datamodel search command, which is used to list and inspect available data models in Splunk.

A KPI based on total perimeter firewall blocks is ineffective because perimeter firewalls are constantly exposed to the internet and subject to automated scans and attack tools, which can generate very high block counts. This inflates the metric with noise, making it a poor indicator of actual security performance or risk reduction.