Generative AI for Penetration Testing and Red Teaming

Penetration testing is evolving rapidly as artificial intelligence transforms how security professionals identify and exploit vulnerabilities. Understanding how to responsibly integrate generative AI into your offensive security toolkit is now a critical skill for modern ethical hackers. This text-based course guides you from foundational AI security concepts to practical, AI-assisted red teaming workflows. You will discover how to safely use large language models to accelerate reconnaissance, automate payload generation, and analyze complex codebases for security flaws. What you'll learn: - Understand the core principles of generative AI and how large language models fit into ethical hacking. - Write and refine prompts to automate reconnaissance, intelligence gathering, and custom script development. - Analyze target source code for common security vulnerabilities using AI-guided static analysis. - Generate tailored payloads and exploit proofs-of-concept while understanding the limitations of AI outputs. - Explore modern AI security challenges, including prompt injection risks and how to secure AI-powered applications. - Apply red teaming methodologies to simulate realistic adversary behaviors using AI assistance. The course begins with essential terminology and the fundamentals of AI-assisted security before moving into step-by-step written walkthroughs of reconnaissance, scripting, and defensive evasion strategies. It is designed for beginner penetration testers, security enthusiasts, and ethical hackers looking to integrate modern AI tools into their workflows, with no prior AI experience required. Start reading today to elevate your offensive security skills with the power of generative AI.