Tag: defense

AWS collaborated with the Virginia Army National Guard (VA ARNG) for Cyber Fortress 2025, an exercise that brought together government agencies, public utilities, and academia to strengthen critical infrastructure defense through collaborative training. Read this post to learn more.

Defense and national security customers are shifting away from legacy systems toward innovative, best-in-class commercial solutions in the cloud that can provide warfighters a superior technical advantage. Nontraditional defense contractors and commercial companies building these solutions face a challenge: accessing classified IT quickly and cost-effectively. Today, we’re excited to announce a partnership between AWS and Westway Services Group LLC that tackles this challenge head-on.

Today’s military forces face unprecedented challenges in managing battlefield information. A new solution—developed through a collaboration between Amazon Web Services (AWS) and Lockheed Martin—demonstrates how cloud technology can revolutionize military communications.

The use of high performance computing (HPC) in federal agencies is evolving rapidly, and AWS is offering an innovative new workshop designed specifically for public sector requirements. The AWS Department of Defense (DoD) HPC Center of Excellence (CoE) has launched the HPC for Public Sector workshop, a comprehensive training program that addresses the unique challenges faced by federal organizations in deploying HPC workloads to the cloud.

Federal agencies use AWS and the AWS Partner Network to deliver complex systems efficiently and effectively. Digital engineering (DE) has emerged as a game-changing approach to addressing these challenges. We recently sat down with Christopher G. Finlay, VP of engineering at the Science Applications International Corporation (SAIC) Innovation Factory, to discuss how digital engineering is transforming the federal space and accelerating mission success.

As NATO member countries review their defense needs, technology innovators are transforming the landscape of solutions that national security and defense agencies can consider to address complex threats. In this post, we’ll explore how strategic partnerships between cloud providers like AWS and defense innovators can unlock the full potential of these disruptive technologies for NATO and its member countries.

In this post, you will learn how AWS technologies support the entire autonomous system lifecycle from AI-powered design and virtual prototyping in pre-deployment, to edge computing through services like AWS IoT Core and AWS IoT Greengrass and related solution guidance like Tactical Edge Application Deployment on AWS and Cloud Edge Global Access (CEGA) during deployment, through real-time mission operations, and finally to post-mission evolution using secure over-the-air updates and predictive maintenance.

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.

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.