AWS Public Sector Blog

How healthcare organizations are advancing innovation while meeting digital sovereignty requirements with AWS

How healthcare organizations are advancing innovation while meeting digital sovereignty requirements with AWS

Healthcare is entering a new era. Advances in AI, data analytics, and cloud computing are creating opportunities ranging from accelerating drug discovery and enabling precision medicine to helping clinicians detect disease earlier and spend more time with patients. As healthcare organizations embrace these technologies, they face an equally important responsibility: safeguarding some of the world’s […]

Campaign reporting transformation at Boise State University Foundation

Learn how the Boise State University Foundation transformed quarterly Microsoft Excel reports into real-time dashboards using Amazon Quick, a 780-fold improvement that fundamentally changed how leadership makes decisions. It extracts actionable insights from a decades-old legacy system while supporting a major comprehensive fundraising campaign.

How AWS and a local community organization built a developer engagement model that works

How AWS and a local community organization built a developer engagement model that works

Learn how between Amazon Web Services (AWS) and HUMANBULB, the community organization behind the AWS Sacramento User Group — became a model that other cloud companies and community leaders can replicate. In this post, we share what we built, what we learned, and how other AWS teams and community leaders can apply the same approach in their own cities.

Turning vague agent personality goals into versioned prompts with Amazon Bedrock

Turning vague agent personality goals into versioned prompts with Amazon Bedrock

The methodology described in this post translates subjective personality requirements into testable behaviors, versioned prompts, and documented boundaries. It addresses several dimensions of Responsible AI at AWS, an eight-dimension framework that guides how we build and evaluate AI systems.

An incident response playbook for satellite operations on AWS (Part-1): Detection and forensic readiness

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

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.

Prepare for your GovRAMP Progressing Snapshot with AWS

Prepare for your GovRAMP Progressing Snapshot with AWS

In this post, we explain what the Progressing Snapshot program is, what the program is for, who it is for, and how Amazon Web Services (AWS) helps you lay the foundation to address many of the 40 snapshot controls.

Solving federal log retention requirements with AWS account-level subscription filters

Solving federal log retention requirements with AWS account-level subscription filters

Learn how the Login.gov team implemented a robust long-term log retention system that solved multiple architectural challenges while using Amazon Web Services (AWS) account-level subscription filters to provide capabilities that other approaches couldn’t match.