Which data can be utilized to fine-tune alerts in Azure Sentinel for relevance?

Utilizing historical incident data is a strategic approach for fine-tuning alerts in Azure Sentinel. This type of data provides valuable insights into past security incidents, including their frequency, severity, and the circumstances surrounding them. By analyzing historical incidents, security analysts can identify patterns, trends, and potential false positives that have occurred in the past. This information allows them to adjust alert thresholds, refine rules, and prioritize alerts that are more likely to indicate genuine threats, ultimately enhancing the relevance and effectiveness of alerting mechanisms in the security operations center.

In contrast, user interaction logs provide insights into user behavior but may not directly correlate with security incidents. Application performance metrics focus on the functionality and responsiveness of applications rather than security events, while network bandwidth usage data relates more to network performance than specific incidents. These data types, while potentially useful in other contexts, do not offer the same targeted insights for tailoring alerts as historical incident data does.