Interview Guides
You are designing an ML platform that runs across on premises infrastructure and public cloud. Training data, features, models, and prediction traffic move between environments, and the platform must protect sensitive enterprise data throughout the ML lifecycle.
How do you secure data in transit and at rest within a hybrid cloud environment?
