Category: HAQM Bedrock Guardrails

This blog post provides a comprehensive guide to implementing robust safety protections for DeepSeek-R1 and other open weight models using HAQM Bedrock Guardrails. By following this guide, you’ll learn how to use the advanced capabilities of DeepSeek models while maintaining strong security controls and promoting ethical AI practices.

Aetion is a leading provider of decision-grade real-world evidence software to biopharma, payors, and regulatory agencies. In this post, we review how Aetion is using HAQM Bedrock to help streamline the analytical process toward producing decision-grade real-world evidence and enable users without data science expertise to interact with complex real-world datasets.

The post showcases how generative AI can be used to logic, reason, and orchestrate integrations using a fictitious business process. It demonstrates strategies and techniques for orchestrating HAQM Bedrock agents and action groups to seamlessly integrate generative AI with existing business systems, enabling efficient data access and unlocking the full potential of generative AI.

By leveraging the generative AI capabilities and tooling of HAQM Bedrock, you can create an intelligent nerve center that connects diverse data sources, converts data into actionable insights, and creates a comprehensive plan to mitigate supply chain risks. This post walks through how HAQM Bedrock Flows connects your business systems, monitors medical device shortages, and provides mitigation strategies based on knowledge from HAQM Bedrock Knowledge Bases or data stored in HAQM S3 directly. You’ll learn how to create a system that stays ahead of supply chain risks.

HAQM Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and HAQM through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI. In this post, I’ll show you how to use HAQM Bedrock—with its fully managed, on-demand API—with your HAQM SageMaker trained or fine-tuned model.

Seamless integration of customer experience, collaboration tools, and relevant data is the foundation for delivering knowledge-based productivity gains. In this post, we show you how to integrate the popular Slack messaging service with AWS generative AI services to build a natural language assistant where business users can ask questions of an unstructured dataset.