Amazon Bedrock, a fully managed service by AWS, provides access to large language models and other foundation models from top AI companies through a single API. This article explores the reasons why customers opt for Bedrock, focusing on its ability to build a secure and responsible foundation for generative AI applications. Amazon Bedrock addresses security and privacy concerns, helps accelerate auditability and incident response, and engenders trust through transparent and responsible AI.
Security is a priority for organizations adopting generative AI. Bedrock uses data isolation and encryption mechanisms to ensure data security and privacy during the construction of generative AI applications. It also provides several connectivity options, and its model access controls enable users to explicitly allow or deny enabling specific foundation models for their accounts.
Amazon Bedrock also enables secure model customization. During the fine-tuning of a model, it uses encrypted training data through a private VPC connection, and this data is not used for any other purpose. Pre-trained or fine-tuned models are deployed in isolated environments specifically for user accounts and can be further encrypted with individual KMS keys.
Moreover, Bedrock provides capabilities for auditability and incident response. It can be used in compliance with regulations like GDPR and HIPAA and provides native integrations with Amazon CloudWatch and AWS CloudTrail for comprehensive monitoring, logging, and visibility of API activity and performance data.
Focus on responsible AI practices is another factor drawing users towards Bedrock. Amazon Bedrock offers purpose-built services and features to help customers implement responsible AI. Guardrails for Bedrock, for instance, enables customers to customize and apply safety, privacy, and truthfulness checks for their generative AI applications. Bedrock also supports model evaluation, watermark detection, and provenance tracking to ensure that AI applications are developed and managed responsibly.
Finally, transparency is a key basis for trust in Bedrock. The service addresses security, compliance, and responsible AI in an integrated manner, helping customers develop safe and secure applications, and generate AI applications responsibly. Amazon Bedrock is equipped with features and tools to help its customers harness the potential of generative AI while ensuring data security and responsible AI practices.
