AWS Public Sector Blog

Category: Management Tools

Securing and automating compliance in the public sector with AWS

Compliance is essential, but ensuring compliance in the cloud with various regulations and standards can be challenging, especially for public sector organizations. The requirements are highly dynamic, constantly evolving, and they vary across countries. Read this blog post to learn about the Amazon Web Services (AWS) resources that can help customers meet compliance requirements, reduce their time and effort, and focus on core business objectives.

photo showing a person crossing a bridge on a remote roadway in Peru

Alteia and the World Bank assess and enhance road infrastructure data quality at scale using AWS

Read this blog post to learn how the World Bank assesses road infrastructure faster and at less cost by using Alteia data analytics powered by Amazon Web Services (AWS), geospatial imagery, and satellite imagery available on the Registry of Open Data on AWS.

Announcing the Landing Zone Accelerator for Education to support customers in education and research

Announcing the Landing Zone Accelerator for Education to support customers in education and research

AWS announced the availability of Landing Zone Accelerator (LZA) for Education, an industry-specific deployment of the LZA on AWS, designed to further support education customers in designing cloud environments for their compliance needs. The LZA on AWS solution is architected to align with AWS best practices and multiple, global compliance frameworks. The new LZA for Education builds on the LZA to help customers secure their research workloads or workloads containing student data by giving them a set of default configurations that they can use as a starting point and iterate on to define security and compliance posture as code.

Using machine learning to customize your nonprofit’s direct mailings

Many organizations perform direct mailings, designed to support fundraising or assist with other efforts to help further the organization’s mission. Direct mailing workflows can use everything from a Microsoft Word mail merge to utilizing a third-party mailing provider. By leveraging the power of the cloud, organizations can take advantage of capabilities that might otherwise be out of reach, like customized personalization at scale. In this walkthrough, learn how organizations can utilize machine learning (ML) personalization techniques with AWS to help drive better outcomes on their direct mailing efforts.

Analyzing vehicle fleet location data from a data lake with AWS

At AWS, many public sector customers operate fleets of vehicles (e.g. emergency response, public transportation) that generate location data, which is ultimately stored in a data lake. These customers frequently ask how they can quickly visualize this data and extract insights that can help them optimize how they operate their vehicle fleets. In this post, learn how to use Amazon Athena and Amazon Location Service to perform ad hoc reverse geocoding on a notional dataset of vehicle location history, and visualize the results on an Amazon QuickSight map.

Reduce mean time to contain (MTTC) on incidents against digital citizen services

Reduce mean time to contain (MTTC) on incidents against digital citizen services

Attacks on digital citizen services can cause citizens to lose trust in their governments. Services such as real estate land title searches, emergency response, and more need to be operational in times of need. As an IT leader for digital citizen services, your mission to automate incident management runbooks is necessary. Learn how the automation of incident response starts with what you already have: your existing incident response runbook.

How to build an Aadhaar Data Vault on AWS

An Aadhaar number is a 12-digit unique identification number issued by the Unique Identification Authority of India (UIDAI) to every individual in India. Considering the sensitivity of the Aadhaar number and the potential implication of having one’s Aadhaar number compromised, UIDAI mandated the need for all Aadhaar and Aadhaar-related data to be encrypted and stored separately in a secure, access-controlled data repository known as an Aadhaar Data Vault. This blog post explains how government and private entities that collect, process, and store Aadhaar data for various use cases can use AWS CloudHSM from AWS to create an Aadhaar data storage solution that can meet guidelines provided by UIDAI.

Navigating ISM and Essential Eight compliance with AWS Config for Australian government agencies

To help our Australian customers, AWS provides pre-built conformance packs for the Australian Cyber Security Centre (ACSC) Essential Eight Maturity Model and the ACSC Information Security Manual (ISM). The ACSC’s Essential Eight was first published in 2017 and is a set of prioritised security mitigation strategies designed to help protect organisations against various security threats. In this blog post, I walk you through how to set up a conformance pack in AWS Config that is designed to help you implement and track the ASCS Essential Eight model.

How one nonprofit uses AWS to amplify citizen advocacy across Africa

ONE is a global movement to end extreme poverty and preventable disease by 2030. Advocacy is about taking action in real time, so we need to reach people wherever they are. In Africa, that means using mobile devices. To help us reach audiences across Africa, we launched a mobile chatbot built on AWS.

How to deliver performant GIS desktop applications with Amazon AppStream 2.0

Geospatial datasets are increasingly large, reaching terabyte and even petabyte scale, which can cause many challenges for geospatial analysts and educators–but Amazon AppStream 2.0 can provide some solutions. In this blog post, we walk through how to deploy QGIS, a no cost, open-source geospatial information system (GIS) application used by geospatial analysts, in Amazon AppStream 2.0. We also load an example dataset to demonstrate how desktop GIS application users can access large, cloud-hosted geospatial datasets with high performance by keeping the data and compute components together on the cloud, and streaming the desktop application instead of downloading the data itself.