Explore the critical aspects of securing AI and Machine Learning systems in this 30-minute talk from the Cloud Security Alliance. Gain insights into building security into the Machine Learning lifecycle and learn how to leverage DevSecOps experience to become an MLSecOps expert. Discover the real vs. perceived risks in AI and ML, understand the overlap and differences between MLOps and DevOps lifecycles, and explore how security can be integrated into the ML pipeline. Examine case studies from real ML Engineering teams to understand best practices for securing ML across people, process, and technology. By the end of this talk, acquire practical knowledge to enhance the trust and resilience of AI and ML systems in your organization.