Announcing AWS Security Reference Architecture Code Examples for Generative AI
The examples include two comprehensive capabilities focusing on secure model inference and RAG implementations, covering a wide range of security best practices using AWS generative AI services… AWS strives to continuously provide security solutions that help customers meet their security archit…
Amazon Web Services (AWS) is pleased to announce the release of new Security Reference Architecture (SRA) code examples for securing generative AI workloads. The examples include two comprehensive capabilities focusing on secure model inference and RAG implementations, covering a wide range of security best practices using AWS generative AI services.
These new code examples are available in the AWS SRA Examples Repository and include ready-to-deploy CloudFormation templates to assist application developers in getting started with network segmentation, identity management, encryption, prompt injection detection, and logging and monitoring. The solutions align with the AWS SRA Design Guidance page and demonstrate our commitment to helping customers secure their generative AI implementations.
Customers can get started with these examples by following the implementation instructions for each solution in the AWS SRA Examples Repository Solutions GenAI page. Additional documentation and implementation guidance is available in the AWS SRA Design Guidance Generative AI Architecture Deep Dive.
AWS strives to continuously provide security solutions that help customers meet their security architecture needs. Customers can reach out to the team by submitting an issue in the code repository.
If you have feedback about this post, submit comments in the Comments section below.
Author: Ievgeniia Ieromenko