Exploring AI’s evolving role in application security, this article traces its journey from basic fuzz testing to sophisticated ML-driven risk prediction. It contextualizes historical milestones like DARPA's Cyber Grand Challenge and details how generative models craft effective security tests. For example, leading firms use deep learning to detect potential breaches, ensuring rapid vulnerability prioritization. This piece offers balanced insights into the benefits and challenges of implementing autonomous security measures.