AWS Public Sector Blog
Category: Messaging
Celebrating 15 Years of AWS GovCloud (US): Built for the Nation’s Most Critical Missions
Today, AWS GovCloud (US) is the operational backbone of some of the nation’s most critical applications spanning security and defense, energy, public health and financial services. Fifteen years in, and that mission focus still defines everything AWS GovCloud (US) delivers.
The Signal-Activated Agent Pattern: A reference architecture for proactive government AI
In Part 2 of our two-part series, we discuss the architecture of the Signal-Activated Agent Pattern and its application for proactive government AI. For Part 1, see Signal-activated generative AI: How agencies can reach more people and react faster.
Implementing per-user token guardrails for Amazon Bedrock in government agencies
This post presents two complementary patterns for implementing per-user token guardrails on Amazon Bedrock from Amazon Web Services (AWS).
How UTHealth Houston built HIPAA-compliant generative AI at scale: iDFax’s 2-year journey with Amazon Bedrock
This post is a follow-up to our March 2025 blog post, UTHealth Houston’s iDFax transforms medical fax management with Amazon Bedrock, which introduced the iDFax pilot and its early results.
How South Carolina’s Talking Book Services uses Amazon Connect to bring readers closer to the stories they love
Learn how South Carolina State Library’s Talking Book Services has been putting books into the hands—and ears—of people with print disabilities since 1931. Now, with the help of Amazon Connect, the small team of reader advisors serving 4,200 patrons across the state is making those deeply personal connections easier than ever.
Building AI agents for domain-specific classification at scale
This post shows how public sector and enterprise teams can build an agentic AI-powered classification system on Amazon Web Services (AWS) using the Strands Agents SDK, Amazon Bedrock, and serverless services. You will learn the architecture, the agent workflow, and how to implement this system using the Strands Agents SDK.
Accelerating autonomous system innovation with Project MAVERICK field testing
Real missions break perfect prototypes. Through Project MAVERICK (Mission Autonomy Versatile Rapid Innovation and Capabilities Kit), Amazon Web Services (AWS) confronts this reality head-on—bringing cloud capabilities directly into the field to test autonomous systems where it matters most.
An incident response playbook for satellite operations on AWS (Part-1): Detection and forensic readiness
In this post, the first in a two-part series, we focus on the detection and forensic readiness side of satellite IR. This post walks through instrumenting your ground segment with Amazon Web Services (AWS) security services and AWS Ground Station so that threats surface before they cause damage, and forensic data is already flowing when an incident occurs.
An incident response playbook for satellite operations on AWS (Part-2): Automated response and recovery
This blog covers what to do when those detections fire. Satellite incident response (IR) must account for constraints that ground-based systems never face: containment actions that wait for the next orbital pass, decisions that trade mission continuity against security, and recovery procedures where the compromised endpoint cannot be physically accessed. It walks through containment, eradication, recovery, automated runbooks, and tabletop exercises designed for satellite operations teams.
Student attentiveness and engagement analysis in live classrooms with generative AI
Learn how student attentiveness and engagement analysis in live classrooms has been addressed with generative AI.









