Category: Public Sector

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.

In this post, you’ll learn how KBR—a global science, technology, and engineering solutions organization—achieved a 33.5% cost savings and a 27.09% increase in pipeline processing speed by migrating geospatial processing workloads from an x86 Amazon Elastic Compute Cloud (Amazon EC2) M7i instance to AWS Graviton processors while maintaining data accuracy within 0.002% of x86 outputs.

In this blog post, Sanjeev Pulapaka of AWS explores how agentic AI—deploying multiple specialized agents that understand intent and context—can dramatically accelerate the federal rulemaking lifecycle by addressing its three major bottlenecks: NPRM development, public comment analysis, and final rule clearance.

Learn how BMJ Group has developed an AI-powered editorial assistant designed to help journal editors screen submitted research manuscripts to make better decisions about which papers to send for further peer review, which to reject, and why.

Learn how Amazon Web Services (AWS) is delighted to support Locked Shields – the NATO Cooperative Cyber Defence Centre of Excellence’s (NATO CCDCOE’s) premier live-fire cyber defence exercise.

Learn more about the Technology Readiness Experimentation (T-REX) 26-1 exercise at Camp Atterbury, Indiana, validated this approach in December 2025, demonstrating real-time monitoring, predictive analytics, and automated optimization across 20 technologies operating simultaneously.

Learn how CloudHedge’s CHAI platform brings together three transformative components: DART (Discovery, Assessment, and Rationalization Tool), Flow Federal Edition, and CHAI Universe Model Context Protocol (MCP). All three components are grounded in the intelligence of Amazon Bedrock.

Learn more about the Digital Research and Curation Center (DRCC), the group within the Sheridan Libraries that builds and manages digital infrastructure for open scholarship, migrated DSpace to the cloud with Amazon Web Services (AWS).

Learn how AWS Support can be contacted through three channels: web (email), live chat, and phone. Each method will open a support case. AWS addresses support cases based on severity of the reported issue and the human response times for your support tier.

In this post, we share how Scouting America used this AI assistant to transform youth enrollment.