Multi-Layered Guardrails for Cloud Native AI - Enforcing Compliance and Safety at Scale

Learn to implement comprehensive AI governance frameworks in cloud-native environments through this 35-minute conference talk from CNCF's KubeCon + CloudNativeCon. Discover how to build multi-layered guardrails that enforce compliance and safety at scale across AI-powered applications using a three-stage approach: pre-processing input validation, real-time bias mitigation during inference, and post-inference output validation. Explore practical implementation strategies leveraging Kubernetes orchestration, Istio service mesh, and knowledge graphs to create scalable AI governance systems. Understand how multi-agent coordination enables real-time intervention and traceability to ensure AI decisions remain transparent, auditable, and compliant with regulatory requirements. Gain insights into cloud-native AI governance patterns and deployment strategies essential for maintaining trust and robustness in distributed AI workflows within Kubernetes environments.