Secure and Governed GenAI Inference Architectures on AWS
Organizations are rapidly deploying generative AI applications, but many struggle with balancing innovation speed against security requirements and regulatory compliance. This guide targets cloud architects, security engineers, and AI/ML teams who need to build secure generative AI deployment strategies on AWS without sacrificing performance or scalability. Generative AI workloads present unique challenges that traditional security approaches can’t fully address. Data flows through complex inference pipelines, model outputs require real-time validation, and compliance frameworks are still catching up to AI-specific risks. Getting AWS GenAI security right from the start prevents costly retrofits and regulatory headaches down the road. We’ll walk through proven AWS AI security controls that protect your models and data throughout the inference lifecycle. You’ll learn how to design scalable AI inference AWS architectures that meet enterprise governance requirements while maintaining th...
