This presentation will dive into the innovative intersection of fuzzing and artificial intelligence, presenting a project that I developed using LLMs to generate fuzzing harnesses during my internship at Intel. The discussion will showcase a user-friendly website that accepts a GitHub repository URL and user specified fuzzing targets to generate fuzzing harnesses for those targets. The goal of this project is to break down barriers in security testing by streamlining the process of generating fuzzing harnesses using LLMs. Join us in exploring the principles of fuzzing and understanding new methodologies that are shaping the future of fuzzing and software security.