Category: *Post Types

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.

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.

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.

This post explains how to build exactly that using Strands Agents and Amazon Bedrock. The entire solution runs in about 200 lines of Python code, and you can have it working on your computer after completing the pre-requisite steps.

Learn how the AWS Partner Transformation Program (PTP) agentic AI module was built to help AWS Partners move from idea to deployed solutions faster and with the technical depth and governance frameworks that public sector customers require.

Learn how the Amazon Web Services (AWS) Generative AI Innovation Center has helped dozens of organizations develop evaluation strategies that bridge this “articulation gap.”

This post explores the implications of these developments and what they mean for businesses in the defense sector. This includes organizations in aerospace, defense satellite, healthcare, manufacturing, and higher education that conduct business with the Department of Defense (DoW).

A joint research report from Pearson and Amazon Web Services (AWS) finds that AI readiness is not a single skills gap waiting to be filled. It is a systemic breakdown in the transition from learning to work, driven by six frictions that compound on one another.

Read this post to learn about Innovatrial, a next-generation digital offering built by Servizo Galego de Saúde (SERGAS) on Research and Engineering Studio (RES) on Amazon Web Services (AWS) by NTT DATA in collaboration with AWS. This solution radically transforms how clinical trials are managed, connecting data, people, and processes in a unified environment that accelerates scientific evidence generation.

Federal funding cuts and fierce competition are forcing US researchers to look beyond their usual grant sources. To address this, Amazon Web Services (AWS) worked with a UNC researcher to develop the Grant Research Opportunity Wizard (GROW).