Category: Public Sector

In this post, we explore the essential best practices for AWS GovCloud (US) account management and avoid common pitfalls. By following these practices, you can reduce compliance risk and streamline operations across your AWS GovCloud (US) environments.

In this post, we cover the use cases for AWS Cloud WAN in AWS GovCloud (US), walk through the key capabilities now available to government organizations and regulated industries, provide guidance on getting started, and discuss important considerations for deployment.

This post introduces Kiro for Life Sciences, a Kiro power package that transforms Kiro into a unified research interface spanning more than 100 databases across 24 scientific disciplines.

Learn how Amazon Web Services (AWS) operates inside a scoped compute environment with an AWS Identity and Access Management (IAM) execution role, network segmentation, and defense-in-depth security meeting FISMA, FedRAMP, and DoD CCSRG standards.

In this blog post, learn how the Registry of Open Data on Amazon Web Services (AWS) has surpassed a major milestone: 1,122 datasets are now freely available to anyone.

This post gives you a practical framework for turning project experience into organizational learning and shows how Amazon Web Services (AWS) AI services accelerate the process.

This Women’s Health Month, we spotlight six organizations supported by AWS social impact credits that are using the cloud to change what’s possible for women’s health.

In this post, Marshall Moutenot shares how dynamical.org is making weather data products, including AI weather forecasts, accessible on AWS.

Learn how AWS GovCloud (US) customer technical support cases are routed to US-based, US citizens. This means that 24/7, AWS Support will make every effort to ensure your cases are handled exclusively by US-based, US citizens throughout the entire case lifecycle – no opt-in or special request required.

This post outlines a practical governance framework for agentic AI systems, with a focus on public sector and other highly regulated environments. It introduces a scope-based model for classifying agent autonomy, identifies core security dimensions, and describes how organizations can align agentic AI governance with existing risk, compliance, and assurance programs.