AWS Public Sector Blog

This post describes the program for the 2026 cycle, the services it covers, and how eligible campaigns and committees can enroll. Since AWS first joined DDC in 2020 and expanded the offering in 2022 and again in 2024, eligible campaigns and committees of any size and on either side of the aisle have used these services to protect the data, identities, and applications they rely on through Election Day.

In this post, we explore a human-in-the-loop (HITL) framework in the form of architectural patterns teams can use to introduce agentic AI incrementally into eligibility workflows that are adapted to their programs, policies, and risk tolerances.

Learn what Amazon Web Services (AWS) and Eastern Switzerland University of Applied Sciences (OST) are now tackling together as part of a new collaboration under the AWS Cloud Innovation Lab program.

Read this post to learn about AWS Wickr, a messaging and collaboration service that protects messaging, calling, file sharing, screen sharing, and location sharing with 256-bit end-to-end encryption (E2EE). Wickr combines advanced security for sensitive communications, administrative controls for user and policy management, and data retention for auditing and regulatory needs.

In this post, we explain how the U.S. Army cut critical software delivery process times by up to 75% using AWS GovCloud (US) and AI-powered automation and how your R&D program can overcome lengthy authorization cycles, distributed team collaboration challenges, and Impact Level 5 (IL5) compliance requirements with SPDS.

As part of AWS’s up to $50 billion commitment to deploy integrated AI and HPC cloud infrastructure for the U.S Government, we’re driving American AI innovation by expanding AI model choice in our AWS Government Regions. We’re excited to share that AWS GovCloud (US) now offers multiple AI model families through Amazon Bedrock, giving government customers, their supporting industrial base, and technology partners the AI model choice their missions demand.

Most security teams know what’s needed to defend their organization. Regulatory guidance is available, threat intelligence sharing has increased, and risks are well-documented. So why are healthcare and life sciences (HCLS) groups, from commercial payors to public health systems, still facing recurring incidents or falling behind in protecting sensitive information? The answer is the execution gap: the space between knowing what to do and the ability to get it done.

A recent State CIO Survey from the National Association of State Chief Information Officers (NASCIO) highlights that modernization extends beyond a single piece of technology. Digital accessibility, AI, modernization funding, cloud, data governance, collaboration, and service delivery are now all connected priorities that influence constituent-facing experiences and the operating models that make those experiences possible. Amazon Web Services (AWS) and partners like Presidio help agencies address these priorities through cloud-based modernization patterns that connect workflow, data, experience, and governance.

In this post, we describe how ITHAKA and Amazon Web Services (AWS) collaborated to build an on-demand PDF accessibility pipeline that remediates documents when users need them, serving researchers while using nonprofit resources responsibly. For organizations managing a large document collection under accessibility compliance deadlines, this post shows there is an affordable, practical path forward that doesn’t require converting an entire library upfront.

When disasters strike, the first thing responders need is an accurate map. But for much of the world, detailed maps don’t exist. Humanitarian OpenStreetMap Team (HOT) has been fulfilling that need since 2010. Today, HOT is a global network of over 500,000 contributors across 94 countries. By combining local ground-truth mapping, regional hubs, and open source tools, HOT coordinates massive, crowdsourced efforts to provide immediate data to responders without licensing costs or procurement barriers.