Privacy-Preserving AI Primitives - Building Blocks for Regulated Industries

Explore four fundamental privacy-preserving primitives that enable regulated industries to adopt AI while maintaining compliance in this 57-minute conference talk from AWS re:Invent 2025. Discover how encryption with AWS KMS, confidential computing with AWS Nitro System, federated learning, and cryptographic computing serve as essential building blocks for AI implementations in highly regulated environments. Examine real-world industry case studies that demonstrate practical implementations, architectural considerations, and performance trade-offs when deploying these privacy-preserving technologies. Learn to evaluate each primitive against specific regulatory requirements and design comprehensive solutions that maintain data sovereignty while leveraging cloud scalability. Gain actionable strategies for successfully implementing privacy-preserving AI systems that meet the stringent compliance demands of regulated industries while unlocking the full potential of AWS AI capabilities.