In an era where artificial intelligence (AI) and machine learning (ML) technologies are advancing at an unprecedented pace, the focus on training AI models has overshadowed an equally critical aspect: the education and security training of the developers who build and use these systems. In this talk addressing the imperative of cultivating a robust culture of security education among software developers, I will explore the current landscape of AI and ML development, highlighting the substantial investments made in model training while exposing the gaps in security training for developers. By identifying key vulnerabilities that arise from this oversight, we will propose actionable strategies to integrate comprehensive security education into the development lifecycle. Attendees will gain insights into creating a balanced approach that ensures both AI systems and their creators are equipped with the knowledge and tools to uphold the highest standards of security. Join me and learn how fostering a culture of security education is not just a necessity but a foundational element for the sustainable advancement of AI technologies.