Which feature in Azure Sentinel is specifically designed to help detect anomalies?

Fusion technology in Azure Sentinel is specifically designed to help detect anomalies by utilizing advanced machine learning to identify patterns and relationships in data. This feature aggregates alerts from various sources, analyzes them, and correlates them with past events to uncover potential threats that might go unnoticed through standard monitoring methods. By harnessing data from various security tools and services, Fusion can detect complex attack scenarios which might involve subtle anomalies that could indicate malicious activity.

In contrast, Azure Firewall is a network security service that controls inbound and outbound traffic but does not have features focused on anomaly detection. Azure Policy is utilized to enforce organizational policies on resources, ensuring compliance, but it is not geared toward detecting anomalies or threats. Multi-Factor Authentication enhances security by requiring multiple forms of verification but doesn't specifically address the identification of anomalous behavior. Thus, Fusion technology stands out as the feature designed specifically for identifying anomalies within Azure Sentinel.