This article dives deep into the world of Kusto Query Language (KQL) to show you how to create custom analytics rules for detecting high-volume email sends, both internal and external, that might indicate potential security breaches. By leveraging these KQL queries, you can gain valuable insights into your email traffic, identify suspicious patterns, and take proactive measures to safeguard your organization’s data. Targeting a high-risk behaviour from the most recent MDDR, we will explore finding inbox rule compromises on our o365 logs today.