Safeguard generative AI applications with Amazon Bedrock Guardrails

Enterprises aiming to automate processes using AI agents or enhance employee productivity using AI chat-based assistants need to enforce comprehensive safeguards and audit controls for responsible use of AI and processing of sensitive data by large language models (LLMs). Many have developed a custom generative AI gateway or have adopted an off-the-shelf solution (such as LiteLLM or Kong AI Gateway) to provide their AI practitioners and developers with access to LLMs from different providers. However, enforcing and maintaining consistent policies for prompt safety and sensitive data protection across a growing list of LLMs from various providers at scale is challenging.

In this post, we demonstrate how you can address these challenges by adding centralized safeguards to a custom multi-provider generative AI gateway using Amazon Bedrock Guardrails. Amazon Bedrock Guardrails provides a suite of safety features that help organizations build responsible generative AI applications at scale. You will learn how to ...