Security teams often struggle with detecting and responding to threats efficiently due to excessive alert volumes, ineffective detection rules, and unoptimized security workflows. In this course, Build Effective Security Alerts with Elastic Stack, you’ll learn to leverage Elastic Security to create, refine, and optimize security alerts for effective threat detection and response through practical, hands-on exercises. First, you'll explore how to write and refine Kibana Query Language (KQL) queries to filter and analyze security data for more accurate results. Next, you'll discover how to develop custom detection rules in Kibana, including setting severity levels, scheduling, and thresholds to detect various threats. Then, you'll uncover how to utilize and customize pre-built detection rules to match specific network environments and threat profiles. Finally, you'll learn how to optimize detection rules by analyzing performance, adjusting settings to reduce false positives, and implementing risk scoring to prioritize alerts. When you finish this course, you’ll have the skills and knowledge of Elastic Security and Kibana needed to efficiently detect, analyze, and respond to security threats in Linux environments, improving the overall effectiveness of your security operations.
Overview
Security teams often struggle with detecting and responding to threats efficiently due to excessive alert volumes, ineffective detection rules, and unoptimized security workflows. In this course, Build Effective Security Alerts with Elastic Stack, you’ll learn to leverage Elastic Security to create, refine, and optimize security alerts for effective threat detection and response through practical, hands-on exercises. First, you'll explore how to write and refine Kibana Query Language (KQL) queries to filter and analyze security data for more accurate results. Next, you'll discover how to develop custom detection rules in Kibana, including setting severity levels, scheduling, and thresholds to detect various threats. Then, you'll uncover how to utilize and customize pre-built detection rules to match specific network environments and threat profiles. Finally, you'll learn how to optimize detection rules by analyzing performance, adjusting settings to reduce false positives, and implementing risk scoring to prioritize alerts. When you finish this course, you’ll have the skills and knowledge of Elastic Security and Kibana needed to efficiently detect, analyze, and respond to security threats in Linux environments, improving the overall effectiveness of your security operations.
Taught by
Sean Wilkins
