Log Querying in Sentinel with KQL

In today's cybersecurity landscape, the ability to quickly search and analyze massive volumes of security data is crucial for defending your organization. Sentinel provides powerful logging capabilities, but unlocking their value requires knowing how to query that data effectively. This text-based course guides you through the foundational concepts of writing and running queries in Sentinel. You will transition from a complete beginner to confidently constructing Kusto Query Language (KQL) queries to isolate security events, analyze trends, and identify potential threats in your logs. What you will learn: Understand the core architecture of Sentinel logs and how data is structured; Write basic to intermediate KQL queries to filter, sort, and format security log data; Apply essential operators like project, where, extend, and summarize to manipulate datasets; Analyze security events using multi-table joins and unions for deeper correlation; Use modern security parsing standards to normalize data across different log sources; Optimize query performance to search through large-scale datasets efficiently. The course begins with essential security logging terminology and the structure of Sentinel tables. You will then progress step-by-step through practical written tutorials and query examples, building up to multi-table analysis and real-world threat hunting scenarios. This course is designed for aspiring security analysts, system administrators, and IT professionals who are new to Sentinel and KQL, with no prior querying or database experience required. Start reading today to build your foundational security querying skills.