Preserving Data and AI/ML Model Privacy Using Confidential Containers

Explore a conference talk on preserving data and AI/ML model privacy using confidential containers. Dive into the challenges organizations face in achieving data and model privacy in a data-driven world. Learn how confidential computing technology on Kubernetes can be leveraged to securely deploy and protect AI/ML models, including user data when interacting with exposed endpoints. Discover the journey of transitioning from regular model containers to deploying on a confidential computing platform using the CNCF confidential containers project. Gain insights into how this approach enhances confidentiality, security, and privacy throughout the ML model deployment and user interaction process.