Generative AI Prompt Engineering for Cybersecurity Reconnaissance

Gathering actionable intelligence is the foundation of any robust cybersecurity strategy, but traditional reconnaissance can be slow and overwhelming. Generative AI offers powerful ways to accelerate this process, provided you know how to instruct these models correctly. This text-only course guides you from absolute beginner to confidently utilizing generative artificial intelligence for ethical reconnaissance and threat intelligence. You will learn to draft precise prompts that extract, summarize, and analyze security data efficiently while understanding the limitations and security risks of the AI models themselves. What you'll learn: - Understand the core principles of generative AI, large language models, and prompt engineering terminology - Draft precise prompts to automate OSINT (open-source intelligence) gathering and analyze publicly available data - Identify and mitigate security risks associated with LLMs, including basic prompt injection vulnerabilities - Structure threat intelligence reports and summarize complex security logs using AI-driven workflows - Apply defensive prompt engineering techniques to protect organizational data during AI interactions You will start by exploring foundational terminology and AI behaviors before moving into practical, text-based scenarios for active and passive reconnaissance. Through written walkthroughs and analytical exercises, you will develop the skills to safely integrate AI tools into your daily security workflows. This course is designed for aspiring ethical hackers, security analysts, and IT professionals who are new to both prompt engineering and AI-driven reconnaissance. No prior programming or AI experience is required. Begin reading today to transform your security research workflows with the power of modern generative AI.