Explore the current state and future potential of Large Language Models in secure software development through this 49-minute conference presentation from RSA Conference. Examine comprehensive evaluation results of hundreds of real-world insecure code examples tested across various OpenAI models to understand the strengths, weaknesses, and evolutionary progress of LLM-based security systems. Learn about the practical applications of using LLMs for identifying and fixing software vulnerabilities, discover the existing gaps in current AI-assisted security approaches, and understand proposed methods for addressing these limitations. Gain insights into how machine learning technologies are reshaping secure programming practices and what developers and security professionals can expect from future AI-powered security tools.