KQL for Cybersecurity: Querying Logs and Hunting Threats

In modern security operations, the ability to rapidly analyze massive volumes of log data is the difference between a contained incident and a major breach. Kusto Query Language (KQL) is the core engine used by security analysts to query data, detect threats, and secure cloud environments. This text-based course guides you through the fundamentals of KQL, transforming you from a beginner into a confident analyst capable of writing precise queries to hunt down cyber threats. You will learn to extract actionable intelligence from security logs and integrate modern AI-assisted querying patterns. What you'll learn: - Understand foundational KQL syntax, core operators, and data types for security log analysis. - Filter, summarize, and aggregate log data to identify suspicious network and user activities. - Join and correlate multiple security data sources in Sentinel and Defender XDR to reconstruct attack paths. - Create custom detection rules and security alerts using advanced KQL functions and time-series analysis. - Apply query optimization techniques to scan large-scale datasets efficiently. - Leverage modern Security Copilot concepts to translate natural language inquiries into functional KQL queries. The course starts with core terminology, foundational definitions, and basic operators before advancing to complex multi-table joins, security-specific use cases, and query optimization. Through clear written explanations and realistic security log examples, you will build practical querying skills step-by-step. This program is designed specifically for beginner security analysts, threat hunters, and system administrators with no prior query language experience. Start learning KQL today to elevate your threat detection and response capabilities.