Category: Government

Many public sector agencies consist of multiple departments, each with their own functions. This can introduce administrative delays when processing incoming requests due to challenges such as needing to manually route the ever-growing volume of paperwork to the correct destination. This blog explores how Amazon Bedrock can be used to address these challenges by classifying documents based on their key topics and appropriately distributing them. In particular, we will focus on improving the efficiency of the freedom of information (FOI) request process, but this solution can be applied to various public sector use cases.

This significant growth in military unmanned aerial vehicles, which serve as a proxy for the broader autonomous systems market, underscores the urgent need for scalable, secure, and efficient software deployment solutions. As the number of autonomous platforms increases, so does the complexity of managing their software systems. In response to this growing challenge, Shield AI and AWS have collaborated and successfully demonstrated a scalable architecture and proof of concept (PoC) that addresses challenges often seen when deploying autonomy software and machine learning algorithms onto autonomous systems.

By using generative AI, government agencies can analyze large amounts of data to identify patterns and insights, streamline manual processes, and deliver faster, personalized, more accessible services to citizens while maintaining the highest standards of accuracy and compliance. Read this post to learn more.

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.

Cloud infrastructure expansion, agentic AI advancement, and national security initiatives took center stage today during the keynote of the AWS Summit Washington, DC. The annual gathering in the nation’s capital showcased the continued commitment of AWS to public sector innovation and digital transformation.

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.

Last year, AWS launched the AWS Public Sector Generative Artificial Intelligence (AI) Impact Initiative, a two-year, $50 million investment designed to help public sector organizations accelerate innovation using AWS generative AI services. Today, we’re excited to share the remarkable progress we’ve made and highlight how organizations are utilizing AWS technologies to transform operations and deliver better outcomes for the communities they serve.

Drawing on the extensive experience AWS has in partnering with public sector organizations worldwide, here are four transformative steps agencies can take to drive meaningful modernization and shape the future of government service delivery.