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

来源: https://aws.amazon.com/blogs/machine-learning/securing-amazon-bedrock-cross-region-inference-geographic-and-global/

摘要: 这篇文章讨论了亚马逊 Bedrock 跨区域推理的安全架构和最佳实践。Amazon Bedrock 是亚马逊的生成式 AI 服务平台,支持跨区域推理配置(CRIS)。文章重点探讨了在实施跨区域 AI 推理时需要考虑的安全因素,以及如何正确配置系统以满足特定地区的合规要求。这对于构建生成式 AI 应用程序的开发者来说尤为重要,因为不同地区可能有不同的数据安全和隐私法规要求。文章详细介绍了 Amazon Bedrock CRIS 的安全架构设计,包括如何保护跨区域数据传输、访问控制策略的配置以及合规性保证措施。这些最佳实践可以帮助开发者在保证安全性的同时,充分利用 Amazon Bedrock 的

关键词: Amazon Bedrock, 生成式AI, 跨区域推理, 安全架构, 合规性

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

This article discusses the security architecture and best practices for Amazon Bedrock’s cross-region inference capabilities. Amazon Bedrock is Amazon’s generative AI service platform that supports Cross-Region Inference Setup (CRIS). The article focuses on the security considerations that need to be addressed when implementing cross-region AI inference, and how to properly configure systems to meet specific regional compliance requirements. This is particularly important for developers building generative AI applications, as different regions may have varying data security and privacy regulatory requirements. The article provides a detailed overview of Amazon Bedrock CRIS’s security architecture design, including how to protect cross-region data transmission, configure access control policies, and implement compliance assurance measures. These best practices can help developers fully utilize Amazon Bedrock’s capabilities while ensuring security requirements are met.