Category: AWS GovCloud (US)

Today, Amazon Web Services (AWS) is announcing two new AWS WickrGov offerings designed to help customers rapidly deploy secure communications capabilities across their organizations.

In today’s rapidly evolving security landscape, the technological edge isn’t just an advantage—it’s a necessity. We’re thrilled to share a milestone that will transform how our government customers harness the power of artificial intelligence (AI): AWS is the first cloud provider to achieve FedRAMP High and Department of Defense (DoD) Cloud Computing Security Requirements Guide Impact Level 4 and 5 authorizations for Anthropic’s Claude and Meta’s Llama AI foundation models.

Amazon today announced it will launch its second Secret Cloud Region in 2025. The new AWS Secret-West Region will be accredited to support workloads up to the U.S. Secret classification level. With two regions accredited at the Secret level, defense and national security customers and partners can deploy multi-Region architectures, achieving even higher levels of resiliency and availability essential to their critical missions and enabling AI innovation.

Healthcare systems around the world are facing unprecedented challenges, from addressing chronic conditions to supporting aging populations and addressing emerging health threats, and it has become unmistakably clear that technology is no longer just a support function—it’s a force-multiplier that can transform health outcomes. At AWS, we’ve witnessed a remarkable shift as health agencies worldwide increasingly choose cloud computing to drive innovation, enhance research capabilities, and ultimately, improve patient outcomes.

We are pleased to announce that AWS is now listed on the GovRAMP webpage under the Federal JAB Attestation category for both AWS GovCloud (US) (High) and AWS US East/West (Moderate) regions. Read this post to learn more.

Building on an eight-year cloud transformation journey with AWS, The North Carolina Department of Commerce’s Division of Employment Security (NCDES) is launched one of the first generative artificial intelligence (AI)-powered, public-facing solutions in the state: an intelligent virtual assistant that helps individuals navigate the unemployment insurance claim application process. Read this blog post to learn more.

By using the robust capabilities within AWS GovCloud, Trackable Health has developed a comprehensive trackable solution that delivers real-time health and fitness tracking and personalized readiness scores, providing immediate feedback and AI-powered recommendations for improvement. Read this post to learn more about Trackable Health’s solution.

Organizations adopting modern software development activities continue to embrace the advantages of AI and large language models (LLMs), maximizing the productivity of developers. Amazon Q Developer provides you with an AI coding companion that delivers direct access for developers to the AI companion within the integrated development environment (IDE). In this post, we walk you through an example you can use leveraging the power of Amazon Bedrock to provide a coding assistant in your IDE.

U.S. State and Local Government (SLG) organizations often have requirements to host regulated workloads with distinct compliance requirements. Amazon Web Services (AWS) provides U.S. SLG customers with an approach to meet compliance needs by using AWS GovCloud (US) regions or AWS U.S. commercial regions. In this post, we will explain how some U.S. SLG regulated workloads can be hosted in the AWS U.S. commercial regions.

As the primary agency of the US government responsible for biomedical and public health research, the National Institutes of Health (NIH) is one of the leading medical research centers in the world. The NIH Office of Portfolio Analysis (OPA) is tasked with helping NIH prioritize its research. OPA wanted to find a better way to optimize its cloud costs as its analytical research demands continued to grow. That need led OPA to work with AWS Partner Govplace, a systems integrator and solution provider for the public sector. Read this post to learn more about how OPA reduced research costs and scaled on demand.