Prompt Engineering for Security: Detecting Stealth Tactics with GenAI

As digital threats become more sophisticated, security analysts must leverage artificial intelligence to stay ahead of evasive maneuvers. Understanding how stealth tactics operate is the first step toward building resilient AI-driven defense systems. This text-only course teaches you how to apply prompt engineering to analyze security logs, detect track-covering activities, and design defensive AI prompts that flag suspicious behaviors. You will transition from understanding basic security concepts to building smart, AI-driven detection strategies. What you'll learn: - Understand the foundational concepts of generative AI in cybersecurity and threat analysis. - Analyze how traditional stealth and track-covering techniques are identified within system logs. - Design precise prompts to guide AI models in detecting anomalous behaviors and evasive patterns. - Evaluate real-world defensive scenarios where GenAI mitigates security risks. - Apply modern LLM security practices to ensure the integrity of your AI-driven analysis. The course begins with core definitions of generative AI and security terminology before moving into practical log analysis and defensive prompting techniques. You will progress through conceptual scenarios that demonstrate how to orchestrate AI for robust digital forensics. Designed for beginners interested in security analysis and artificial intelligence, this course requires no prior programming or cybersecurity experience. Start learning how to secure digital environments using the power of generative AI today.