AWS Public Sector Blog
How Thales issues verifiable credentials at scale for governments using AWS managed services
As it supports government authorities with their digital identity programs, Thales recognized that Amazon Web Services (AWS) managed services can help address these challenges. The company built a production-grade verifiable credentials issuance platform on AWS that serves government customers worldwide, supporting over 300 national digital identity programs. Read this post to learn more.
Accessing commercial AI from AWS GovCloud (US) for your CJIS workloads
Justice and Public Safety organizations require access to the latest foundation models (FMs) available through Amazon Bedrock for mission-critical AI implementations. This post aids with your evaluation of important CJIS compliance considerations that JPS organizations must address when implementing these architectures.
AWS social impact awards accelerate innovation at Columbia
Every year, an estimated 3 million Americans receive home healthcare services. These programs often improve health outcomes, but they also carry risks. Patients may fall, miss medications, or face complications that lead to hospitalization. Researchers at Columbia University’s School of Nursing are exploring how artificial intelligence (AI) could help predict and prevent such events.
How the U.S. Department of the Treasury is using a human-centered approach to scale AI innovation
At the 2025 Amazon Web Services (AWS) Federal AI Conference in Virginia, Paras Malik, the Chief AI Officer at the U.S. Department of the Treasury, joined AWS Global Head of Financial Innovation Michael Greenwald to share how Treasury is taking a human-centered approach to the use of AI tools. Their conversation highlighted lessons other agencies can apply as they explore promoting AI leadership at scale.
Architecting secure AI sandboxes in AWS GovCloud (US)
Organizations operating in AWS GovCloud (US) might require alternative architectural approaches, depending on service availability in their target Region. This post presents an architecture that’s deployable on AWS GovCloud (US) for secure generative AI experimentation using Amazon SageMaker AI, AWS Lake Formation, and Amazon Bedrock.
Why your AI agents give inconsistent results, and how Agent SOPs fix it
How can you use the power of agentic AI but give yourself a more deterministic (or consistent) output? In this post, we show you how Agent SOPs work and explain how you can use them in your agentic workloads.
How Agriculture and Agri-Food Canada built a cloud-based coherence change detection solution with AWS
Monitoring agricultural practices across Canada’s vast landscape is essential for preserving soil health and water quality. To address this challenge at scale, Agriculture and Agri-Food Canada (AAFC) collaborated with AWS to build a cloud-based proof of concept (PoC) solution that processes synthetic aperture radar (SAR) satellite imagery, which can detect changes in agricultural land use and tillage practices.
From 911 to city hall: CentralSquare and AWS surpass 1,000 cloud deployments, modernizing public sector operations at scale
When a hurricane makes landfall or a power outage takes servers offline, government operations don’t get a pause button. CentralSquare Technologies, North America’s leading public sector software provider, saw an opportunity to change that.
Bringing agentic AI into spreadsheets for planning tactical electrical power
Teams from AWS, working with Sentient Industries, brought the power of AI directly into Excel spreadsheets. Logistics officers can now type the device description in Excel and have the power specs retrieved from a knowledge base in Amazon Bedrock. Unlike a chat-based solution, the AI directly loads the data into spreadsheet cells, creating a streamlined and efficient user workflow. The AI meets the users where they are, and this capability is now being commercialized by Sentient. Read this post to learn more.
Seesaw builds AI-powered reading assessment tool to support elementary literacy with AWS
Learn how Seesaw worked with Amazon Web Services (AWS) to build an AI-powered reading assessment tool using Amazon Transcribe, and how it has supported teachers at Vacaville Unified School District (VUSD) in northern California.









