Security for AI in AWS: A Practical Guide from IAM to Agentic Guardrails, (Paperback)

Security for AI in AWS<br><i>A Practical Guide from IAM to Agentic Guardrails</i><p>Generative AI has introduced an entirely new security landscape.</p><p>Traditional cloud security remains essential, but protecting AI systems now requires addressing threats such as prompt injection, excessive agent autonomy, data leakage, model misuse, insecure RAG pipelines, and AI governance.</p><p><b>Security for AI in AWS</b> provides a practical, architecture-focused approach to securing Generative AI, agentic AI, and machine learning workloads running on AWS.</p><p>Inside this book you'll learn how to: </p><p>- Design least-privilege IAM for AI workloads</p><p>- Secure Amazon Bedrock and RAG architectures</p><p>- Defend against prompt injection and agent-related threats</p><p>- Protect data throughout the AI lifecycle</p><p>- Implement Bedrock Guardrails effectively</p><p>- Build secure multi-account and multi-tenant AI platforms</p><p>- Monitor, audit, and govern AI systems in production</p><p>Packed with architecture diagrams, implementation patterns, security checklists, and real-world examples, this guide helps you build AI systems that are secure, scalable, and production-ready.</p><p>Whether you're designing your first Generative AI application or securing enterprise AI platforms, this book provides the practical guidance needed to build trustworthy AI solutions on AWS.</p>

• Security for AI in AWS: A Practical Guide from IAM to Agentic Guardrails, (Paperback)
• Author: Miguel Brito
• ISBN: 9798184864037
• Format: Paperback
• Publication Date: 2026-06-29
• Page Count: 202