Build responsible AI applications with Amazon Bedrock Guardrails

As organizations embrace generative AI, they face critical challenges in making sure their applications align with their designed safeguards. Although foundation models (FMs) offer powerful capabilities, they can also introduce unique risks, such as generating harmful content, exposing sensitive information, being vulnerable to prompt injection attacks, and returning model hallucinations.

Amazon Bedrock Guardrails has helped address these challenges for multiple organizations, such as MAPRE, KONE, Fiserv, PagerDuty, Aha, and more. Just as traditional applications require multi-layered security, Amazon Bedrock Guardrails implements essential safeguards across model, prompt, and application levels—blocking up to 88% more undesirable and harmful multimodal content. Amazon Bedrock Guardrails helps filter over 75% hallucinated responses in Retrieval Augmented Generation (RAG) and summarization use cases, and stands as the first and only safeguard using Automated Reasoning to prevent factual errors from hallucinations.

In this post, we show how to implement safeguards using Amazon Bedrock Guardrails in a healthcare ...