Category: Public Sector

Eighteen months ago, most boards were asking leaders whether they were moving fast enough on AI. Today the question is harder: are our AI investments generating business value? Across industries, AI budgets have grown faster than the value leaders can point to, and education is no exception. Education technology (EdTech) and education leaders are spending aggressively on AI, and many struggle to tie that spend to outcomes. The numbers bear this out: McKinsey’s Enterprise AI FinOps Survey (May 2026) found that 93 percent of organizations were exceeding their AI budgets, as spend moves from isolated pilots to enterprise-wide adoption.

Spanish space-tech company IENAI SPACE put its cloud-based mission analysis platform, 360™, through the AWS Foundational Technical Review (FTR)—and came out stronger. In this post, we explore how the FTR process helped the team harden per-tenant data isolation and encryption, build a continuous software-supply-chain security pipeline, and formalize backup and recovery objectives, all while running on AWS.

In this post, we explore how Amazon Web Services (AWS) AI capabilities can transform constituent services and business operations. We also highlight some customer success stories and offer some practical advice on how to get started.

In this post, we share how NASWA scaled real-time labor market insights using AWS generative AI.

Whether you’re a prime contractor, a subcontractor deep in the supply chain, a managed service provider (MSP) supporting DIB clients, or a CSP hosting defense workloads, this post explains what’s required, who’s responsible, and how to build a compliance strategy that holds up under scrutiny. Because nearly every one of these pathways ultimately runs on cloud infrastructure, we also highlight where Amazon Web Services (AWS) and AWS GovCloud (US) fit. The foundation you build on shapes how achievable compliance becomes.

Defense industrial base (DIB) organizations working through Cybersecurity Maturity Model Certification (CMMC), Defense Federal Acquisition Regulation Supplement (DFARS), and Federal Risk and Authorization Management Program (FedRAMP) requirements struggle to know how to get started. The answer depends on your role in the defense supply chain and the type of information you handle.

In this post, we share how Zimmer Biomet, working with AWS, Invisibl Cloud, Ansys (part of Synopsys), and Dassault Systèmes, changed what a medical device engineering team can accomplish by using AWS to scale the process of computational simulations. The team started from a previous in silico clinical trial (a clinical trial done on the computer using virtual, realistic patient models) for a shoulder replacement implant. That study, conducted on-premises, took over 3 months to complete 1,042 successful simulations of virtual surgeries. The team then ran a scaled version of the study, with a goal of completing 30,000 successful simulations, start to finish, in under 24 hours on AWS. The run actually delivered 46,662 successful simulations in a single day, about 45 times the original study.

This post walks through what GeDaC built, the build decisions behind it, and why the pattern generalizes well beyond one lab.

This post shows you how to find those delegation failures in 30 minutes and what to do about them. It builds on the delegation model introduced in the Amazon Bedrock AgentCore companion post and turns it into an audit you can run today. This post also shows you how to enforce the boundaries you find on Amazon Web Services (AWS) with Amazon Bedrock AgentCore Policy, AWS Identity and Access Management (IAM), and Amazon Bedrock Guardrails.

This post demonstrates how to use Amazon Elastic Compute Cloud (Amazon EC2) instance attestation to produce cryptographically verifiable Amazon Machine Images (AMIs) for your DevSecOps platform and pipeline—the software factory that builds and delivers your workloads.