Category: Amazon Bedrock AgentCore

In this post, we share a reference AWS architecture that healthcare organizations, health plans, and state agencies can use to deploy AI agents while maintaining HIPAA compliance.

Learn how the AMA Agentic Platform, built on Amazon Web Services (AWS) using Amazon Bedrock AgentCore. The solution puts AI directly into the hands of all 1,800-plus employees, a shift from treating AI as a feature to working with AI as a colleague.

In this blog, learn more about the availability of Amazon Bedrock AgentCore in the AWS GovCloud (US-West) Region, giving government and regulated industries a fully managed solution to build, deploy, and operate AI agents at production scale, without needing to manage the underlying infrastructure. This launch is part of Amazon’s broader commitment to invest more than $50 billion in cloud and AI infrastructure, giving government customers access to the same cutting-edge AI capabilities available in commercial Regions.

This post explores how an agentic AI architecture on Amazon Web Services (AWS) modernizes the procurement lifecycle from solicitation to proposal evaluation while maintaining compliance with government regulations including United States of America FAR (Federal Acquisition Regulation),United States of America DFARS (Defense Federal Acquisition Regulation), and Canadian procurement frameworks (Public Service Procurement Canada (PSPC) /Shared Services Canada (SSC).

Learn how Amazon Web Services (AWS) offers a fundamentally different approach. By deploying agentic AI—specialized AI agents that work collaboratively to analyze, validate, and route documentation—federal agencies can dramatically accelerate conformity processing while maintaining or improving quality and compliance standards.

In this post, we discuss how AWS and Wiz support security and resilience for AMCs to help keep the focus more on patient care while maintaining a robust, secure operating environment.

Learn how Amazon Web Services (AWS) operates inside a scoped compute environment with an AWS Identity and Access Management (IAM) execution role, network segmentation, and defense-in-depth security meeting FISMA, FedRAMP, and DoD CCSRG standards.

In this blog post, Sanjeev Pulapaka of AWS explores how agentic AI—deploying multiple specialized agents that understand intent and context—can dramatically accelerate the federal rulemaking lifecycle by addressing its three major bottlenecks: NPRM development, public comment analysis, and final rule clearance.

Learn how BMJ Group has developed an AI-powered editorial assistant designed to help journal editors screen submitted research manuscripts to make better decisions about which papers to send for further peer review, which to reject, and why.

In this post, I outline a governance framework that addresses these problems through features of Amazon Bedrock AgentCore. By following the practices outlined here, you can gain confidence to run your agentic AI workloads in highly demanding situations.