Articles

The article details a structured approach to creating custom threat detection rules within Elastic Security, emphasizing best practices for operationalizing threat detection. It highlights the importance of filling coverage gaps unique to an environment, even with robust community-shared rules. The guide walks through a four-step process: defining detection logic, creating rules with context, previewing and testing, and finally, deploying to production. Using AWS CloudTrail logs as an example, it demonstrates how to refine threat hunting queries for privilege escalation attempts using ES|QL's CASE() function and Elastic AI Assistant. It also covers building high-fidelity alerts, such as detecting CloudTrail logging evasion. Crucially, the article stresses the significance of adding comprehensive context (severity, MITRE ATT&CK mapping, investigation guides, false positive examples) to rules to reduce Mean Time To Respond (MTTR) for security analysts. It concludes with recommendations for testing rules through threat emulation and maintaining them post-production.