Organizations increasingly leverage Amazon Bedrock to power their Generative AI (GenAI) applications.  Amazon Bedrock provides access to several Foundation Models (FMs) supplied by leading AI companies, including A121 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon. Bedrock employs several AI techniques, e.g., fine-tuning and RAG, to empower organizations to build innovative GenAI applications without undergoing rigorous AI processes. Furthermore, Bedrock is serverless, relieving users of infrastructure orchestration and maintenance. However, a firm understanding of the shared responsibility model and its peculiar application to Bedrock is imperative for maintaining a healthy cloud security posture. The risks Bedrock introduces using AWS S3 in the Knowledge Base for the Bedrock component are central to this understanding. This critical Bedrock component manages data retrieval and processing amongst the core Amazon Bedrock components. The vital role played by S3 as a data source is Bedrock's Achilles heel; it introduces several attack vectors, including data poisoning, denial of service, data breach, and S3 ransomware. This blog post delves into these attack vectors, foreseeable impact, detection opportunities, and mitigations.

Bedrock or Bedsand: Attacking Amazon Bedrock’s Achilles Heel

Kennedy