Explore the critical issue of code security in an era of AI-generated software through this thought-provoking conference talk from Conf42 DevOps 2024. Delve into the challenges posed by large language models producing insecure code and developers' misplaced trust in AI-generated solutions. Examine the limitations of current security programs and manual processes in keeping pace with rapidly evolving AI capabilities. Discover scalable solutions to address these concerns, including paved roads, enhanced runtime protection using RASP, and the concept of a security tool copilot. Learn about CodeModder, an open-source library for modern code modification. Gain valuable insights into securing the future of software development as AI becomes increasingly prevalent in coding practices.