KQL Querying for Sentinel: Security Threat Detection Fundamentals

As cyber threats grow more sophisticated, security analysts must be able to search through massive volumes of log data quickly and accurately. Sentinel relies on Kusto Query Language (KQL) to turn raw log data into actionable security insights, making KQL an essential skill for modern security operations. This text-based course guides you from absolute beginner to confidently writing your own KQL queries. You will start with core security logging concepts and foundational KQL syntax, then progress to filtering, aggregating, and joining data from multiple sources. By the end of the course, you will be able to construct queries to detect suspicious activities and assist in threat hunting. What you'll learn: - Understand foundational Sentinel log structures and basic KQL syntax - Filter and sort security event logs using operators like where, take, and sort - Summarize and aggregate data to identify patterns and anomalies in network traffic - Join and union multiple data tables to correlate security events across different sources - Apply Advanced Security Information Model (ASIM) parsers for standardized querying - Optimize query performance to scan large datasets efficiently without wasting resources We begin with essential security monitoring definitions and the basic structure of the KQL environment. From there, you will read through step-by-step query construction, analyzing real-world security log scenarios through written examples and practical explanations. This course is designed for aspiring security analysts, system administrators, and IT professionals new to SIEM tools and KQL, with no prior querying experience required. Start reading today to build the essential querying skills needed to defend your organization's digital assets.