Securing Medical IoT Devices with an MLOps Automated Pipeline
A walkthrough of building scalable and production-ready MLOps orchestration that streamlines ML pipelines, automates deployment, and enables reliable AI at scale. Medical devices like smart infusion pumps and connected heart monitors keep patients safe every day. However, more connected medical devices could also mean a wider attack surface across hospital networks. When these connected medical devices become targets, patient lives could be put in danger. Anyone can train a machine learning model to catch cyberattacks.