The article explores the concept of AI-native Static Application Security Testing (SAST) and its potential to enhance traditional security tools. It discusses the limitations of current AI models in bug detection and emphasizes the importance of combining AI with static analysis for better results. The author also outlines a blueprint for integrating AI into security tooling.