AI for Security Engineers: Building Guardrails and Automated Detection

As security threats evolve, security engineers must leverage artificial intelligence to automate defenses, analyze risk, and secure AI systems themselves. This text-based course guides you through foundational AI concepts and their practical applications in security engineering, enabling you to turn high-level risk frameworks into actionable, automated guardrails and detection rules. What you'll learn: Understand core AI and machine learning concepts applied to threat detection and analysis; Translate organizational risk frameworks and security policies into automated system guardrails; Build AI-assisted detection rules and security workflows to improve response times and accuracy; Implement modern security practices for AI applications, including mitigating prompt injection and securing data pipelines; Measure and optimize security operations metrics like Mean Time to Acknowledge (MTTA) and Mean Time to Respond (MTTR). The curriculum begins with fundamental AI terminology and security risk frameworks before progressing to step-by-step written guides for writing detection content, setting up guardrails, and evaluating security performance metrics. Designed for beginner security engineers, SOC analysts, and systems administrators looking to incorporate AI into their defensive workflows, this course requires no prior AI experience. Start reading today to modernize your security engineering practices with AI.