Data Normalization in Sentinel with ASIM

Managing security logs from diverse sources often leads to inconsistent data formats, making threat hunting complex and inefficient. Normalizing this telemetry is the key to unlocking unified analysis across your security operations. This text-based course guides you from foundational logging concepts to implementing standardized schemas in Sentinel. You will gain the practical skills to translate raw security events into predictable, queryable formats, enhancing your detection rules and analytical capabilities. What you'll learn: 1. Understand core data normalization principles and why schema consistency is vital for security operations. 2. Explore the Advanced Security Information Model (ASIM) and its standard schemas for network, web, and system events. 3. Write Kusto Query Language (KQL) functions to build custom normalizing parsers for unique log sources. 4. Deploy and manage unifying parsers to query multiple data sources under a single schema. 5. Troubleshoot parser performance and optimize query efficiency in your workspace. The course begins with essential security logging terminology before walking you through ASIM architecture, hands-on parser construction, and query alignment techniques. Designed for security analysts and IT administrators new to log management, this course requires no prior normalization experience. Start reading today to transform your raw security logs into structured, actionable intelligence.