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.

Preserving Data and AI/ML Model Privacy Using Confidential..-Pradipta Banerjee & Prashanth Harshangi