Explore machine learning security operations at one of the world's largest brewing companies in this GOTO Amsterdam 2022 conference talk. Delve into the parallels between MLSecOps and DevSecOps, focusing on Heineken's approach to automating security in their machine learning processes. Learn about data democratization, the machine learning operations lifecycle, shift-left security, and the concept of MLSecOps. Examine real-world use cases comparing secure and insecure ML workbenches, and understand the importance of security in leveraging big data for actionable insights. Gain knowledge on tools like Sonatype Nexus and their role in securing ML operations. Perfect for data scientists, ML engineers, and security professionals interested in implementing robust security measures in machine learning workflows within large-scale industrial settings.