Using Sentinel Search Jobs for Security Investigations

When investigating security incidents, security analysts often need to search through massive volumes of historical log data stretching back months or years. Standard analytical queries can time out or become incredibly expensive when searching petabytes of data. This course teaches you how to leverage Sentinel Search Jobs to run asynchronous, deep-dive queries across cold and archived logs. You will learn how to locate critical security events, optimize your investigation workflow, and manage historical data search costs effectively. The course begins with foundational concepts of security information and event management (SIEM) data tiers and the mechanics of asynchronous searching. You will then progress to writing search-optimized queries, restoring archived data, and analyzing historical logs for threat detection. What you'll learn: - Understand the core concepts of Sentinel search jobs and how they differ from standard analytical queries - Configure search jobs to run asynchronously across massive historical datasets and archived logs - Write efficient Kusto Query Language (KQL) queries optimized for long-running search operations - Restore archived log data to perform deep-dive security investigations and forensic analysis - Manage security operations budgets by utilizing cost-effective search and data retention strategies - Integrate search job results into active incident response and threat hunting workflows This course is designed for beginner security analysts, threat hunters, and IT administrators looking to master historical log analysis. No prior experience with Sentinel is required, though a basic understanding of general cybersecurity concepts is helpful. Start reading today to master long-term security log investigations with Sentinel.