In this episode, Ankur Chakraborty discusses the evolution of AI security, emphasizing the importance of foundational security principles in the context of generative AI. He explores the challenges of scaling security measures in an era of rapid feature deployment and the necessity of integrating AI tools into security practices. The conversation delves into the balance between human oversight and autonomous systems, the significance of context in security decision-making, and the evaluation of security tools based on their outcomes. The discussion highlights the need for better guardrails and the role of context engineering in enhancing security practices.