Have you ever worked alongside a machine learning engineer? Or wondered how their world will overlap with ours in the "AI" era?

In this episode of the podcast, Robby is joined by seasoned expert Kyle Gallatin from Handshake to enlighten us on his perspective on how collaboration between security professionals and ML practitioners should look in the future. They discuss the typical workflow of an ML engineer, the risks associated with open-source models and machine learning experimentation, and the potential role of "security champions" within ML teams. Kyle provides insight into what has worked best for him and his teams over the years, and provides practical advice for companies aiming to enhance their AI security practices.

Looking back at our experience with "DevSecOps" - what can we learn from and improve for the next iteration of development in the AI era?