来源：Securing Amazon Bedrock cross-Region inference: Geographic and global

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中文摘要 #

本文深入探讨了在实施亚马逊 Bedrock 跨区域推理配置文件时的安全考虑因素和最佳实践。文章重点关注如何为生成式 AI 应用程序建立安全架构，以及如何满足特定区域的合规要求。通过详细介绍 Amazon Bedrock CRIS（跨区域推理系统）的安全架构，指导读者了解系统的核心组件和工作原理。同时，文章还提供了具体的配置实施指南，帮助开发者和架构师正确设置和优化跨区域推理服务，确保在全球范围内安全、高效地部署和运行 AI 模型。这对于需要在多个地理区域部署 AI 服务的组织具有重要的参考价值。

**关键词：**生成式AI、跨区域推理、安全架构、云计算安全、合规性

English Summary #

Securing Amazon Bedrock cross-Region inference: Geographic and global

This article delves into the security considerations and best practices for implementing Amazon Bedrock cross-Region inference profiles. It focuses on establishing secure architectures for generative AI applications while meeting specific regional compliance requirements. The article provides a comprehensive overview of Amazon Bedrock CRIS (Cross-Region Inference System) security architecture, helping readers understand its core components and operational principles. Additionally, it offers detailed configuration implementation guidelines to assist developers and architects in properly setting up and optimizing cross-region inference services, ensuring secure and efficient deployment of AI models across global regions. This guidance is particularly valuable for organizations needing to deploy AI services across multiple geographical locations while maintaining security and compliance standards.

**Keywords: **Generative AI, Cross-Region Inference, Security Architecture, Cloud Security, Compliance