Category: Defense

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.

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.

In this blog, we introduce AWS Zero Trust Accelerator for Government – Integrated (ZTAG-I), a reference architecture that aligns with federal zero trust guidance. ZTAG-I accelerates adoption of zero trust architecture by providing a tested example of a fully integrated technology stack that solves key challenges that arise when adopting zero trust.

AWS has achieved the U.S. Department of Defense’s (DoD) Cybersecurity Maturity Model Certification (CMMC) Level 2 certification for the Controlled Working Environment (CWE). This certification enhances our DoD contract support capabilities and demonstrates our cybersecurity commitment.

In this blog post, we’ll share how the Republic of Singapore’s Air Force, with the support of AWS, responded to a specific challenge: how to operate unmanned aerial vehicles (UAVs or drones) in a crowded, complex airspace.