Category: Compute

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.

In this post, you’ll learn how to build an identity incident review workflow that analyzes an event timeline, converts the findings into a strict incident record, and connects the review to a local account-control lookup. The examples separate observed facts from inferences and keep final incident and remediation decisions with a human reviewer.

In this post, we explain what IL5 requires, how AWS GovCloud (US) and SAP NS2 meet those requirements together, and how defense organizations can get started.

In this blog, learn more about the availability of Amazon Bedrock AgentCore in the AWS GovCloud (US-West) Region, giving government and regulated industries a fully managed solution to build, deploy, and operate AI agents at production scale, without needing to manage the underlying infrastructure. This launch is part of Amazon’s broader commitment to invest more than $50 billion in cloud and AI infrastructure, giving government customers access to the same cutting-edge AI capabilities available in commercial Regions.

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.

This two-part series introduces the Signal-Activated Agent Pattern—an architectural approach, backed by a deployable Amazon Web Services (AWS) reference implementation, that helps government AI platforms move from generic, reactive question-answering to proactive, contextually personalized decision support. With this solution, agencies can reach more people, respond faster, and deliver the right value to the right official at each decision point.

to meet this demand.
The Kayode Alabi Leadership and Career Initiative (KLCI Africa), a nonprofit social enterprise headquartered in Lagos, Nigeria, set out to solve this problem using generative AI and Amazon Web Services (AWS). In this post, we describe how KLCI Africa built Rafiki AI, a WhatsApp-based generative AI career advisor that delivers personalized career guidance to underserved and displaced youth in under 2 minutes.

This post explores how an agentic AI architecture on Amazon Web Services (AWS) modernizes the procurement lifecycle from solicitation to proposal evaluation while maintaining compliance with government regulations including United States of America FAR (Federal Acquisition Regulation),United States of America DFARS (Defense Federal Acquisition Regulation), and Canadian procurement frameworks (Public Service Procurement Canada (PSPC) /Shared Services Canada (SSC).

This post presents two complementary patterns for implementing per-user token guardrails on Amazon Bedrock from Amazon Web Services (AWS).

In this post, you can learn what distinguishes this reanalyzed dataset from prior 1000 Genomes Project call sets, how to access the data, and how to explore it using both bioinformatics tools and a natural-language query interface built on Amazon Bedrock.