Privacy as Infrastructure: Declarative Data Protection fo... Joaquin Rodriguez & Krishnendu Dasgupta

This talk, presented by Joaquin Rodriguez from Microsoft and Krishnendu Dasgupta from AXONVERTEX AI, explores the challenge of rapid AI service growth outpacing privacy controls. The session introduces a Kubernetes-native framework designed to integrate privacy as infrastructure, focusing on a Privacy Operator that identifies AI and ML workloads to enforce declarative privacy policies. By ensuring that sensitive data remains protected without the need for developers to manually integrate privacy libraries, it highlights the architecture and enforcement patterns involved. Attendees will see live demonstrations of privacy automation in action, showcasing how policies can dynamically adapt across active AI workloads while addressing considerations of latency, reliability, and observability.