Which feature of Microsoft Defender for Identity assists in monitoring user behavior effectively?

The feature that assists in monitoring user behavior effectively is behavioral analytics to establish baselines. This is because behavioral analytics provides a framework for understanding what constitutes normal activity for users within an organization. By establishing a baseline of typical behavior, Microsoft Defender for Identity can effectively identify deviations from this norm. These deviations may indicate potential security threats, such as compromised accounts or insider threats.

Behavioral analytics uses a combination of historical data and real-time monitoring to adapt to changes in user behavior over time, ensuring that the system remains effective as it learns. This contextual understanding of user interactions allows security teams to prioritize suspicious activities that fall outside the established baselines, improving overall security posture and response times.

While other options like real-time alerts for suspicious login attempts and machine learning algorithms for phishing detection are also aspects of security monitoring, they do not directly focus on the comprehensive analysis of user behavior patterns as behavioral analytics does. Integration with third-party threat intelligence may provide additional contextual information, but it is not primarily aimed at monitoring user behavior specifically within the organization.