The correct answer is D because behavioral analytics tools are primarily used to detect activities that deviate from normal user or entity behavior. These tools analyze patterns such as login times, access locations, data usage, application activity, privilege use, file access, and network behavior to identify anomalies that may indicate insider threats, compromised accounts, credential misuse, or advanced attacks. Preventing data exfiltration is normally associated with data loss prevention controls, although behavioral analytics may help detect suspicious activity related to exfiltration. Analyzing external communications for malware is more closely associated with email security gateways, web gateways, sandboxing, or malware detection tools. Establishing security baselines on endpoints is more related to configuration management or endpoint protection. In CISM risk management, behavioral analytics supports monitoring, detection, and risk reduction by identifying unusual activity that may require investigation. Since its primary value is identifying behavior that differs from expected patterns, detecting anomalous user activities is the best answer.
[Reference: CISM Information Risk Management; user behavior analytics, monitoring controls, anomaly detection, insider threat, and risk detection principles., , ]
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