Category: AWS Shield

This post describes the program for the 2026 cycle, the services it covers, and how eligible campaigns and committees can enroll. Since AWS first joined DDC in 2020 and expanded the offering in 2022 and again in 2024, eligible campaigns and committees of any size and on either side of the aisle have used these services to protect the data, identities, and applications they rely on through Election Day.

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).

Learn how Somapa Information Technology PCL (SomapaIT), an AWS Partner, chooses Amazon Web Services (AWS) Cloud to implement DAC systems because of its global footprint, security, high availability, and scalability.

The University of Notre Dame embarked on a journey to become the first US higher education institution to take a comprehensive, enterprise-wide approach to deploying AWS Web Application Firewall (WAF), AWS Shield Advanced, and AWS Firewall Manager across the entirety of their AWS infrastructure. This meticulous implementation also established a blueprint for other institutions to follow.

As government organizations transition to Amazon Web Services (AWS), they often seek to maintain operational continuity by using their existing on-premises firewall solutions. Gateway Load Balancer (GWLB) enables seamless integration of these firewall appliances into the AWS architecture, ensuring consistent security policies and minimizing disruptions. This post explores best practices for implementing GWLB to facilitate centralized traffic inspection for both east-west and north-south traffic flows.

In alignment with Singapore’s ambitious sustainability objectives, the Land Transport Authority (LTA) of Singapore is intensifying its efforts to spur the adoption of electric vehicles. This contributes to the nation’s goal of achieving 100 percent cleaner energy vehicles by 2040, and the effort leverages Amazon Web Services (AWS). LTA has set up EV-Electric Charging Pte Ltd (EVe) to manage the deployment of up to 12,000 electric vehicle (EV) charging points distributed across 2,000 Housing Development Board (HDB) carparks.

Amazon Web Services (AWS) is continuing its collaboration with Defending Digital Campaigns (DDC) to offer more than 20 cybersecurity-related AWS services for low-to-no cost to all active and registered national party committees and federal candidate campaigns.

In this post, we will explore the use of generative artificial intelligence (AI) chatbots as a natural language alternative to the service catalog approach. We will present an Amazon Web Services (AWS) architecture pattern to deploy an AI chatbot that can understand user requests in natural language and provide interactive responses to user requests, directing them to the specific systems or services they are looking for. Chatbots simplify the content navigation and discovery process while improving the customer experience.

K12 leaders need tangible solutions and tactics for improving their school’s or district’s cyber-resilience in the coming school year, and Amazon Web Services (AWS) is committed to supporting schools and districts as they enhance the cybersecurity of their networks. Recently, AWS joined the White House, the Department of Homeland Security, and the Department of Education—among other leaders in the government and education community—to commit to improving the cybersecurity resilience of K12 education. As part of this commitment, AWS created the K12 Cyber Grant Program, offering up to $20 million in AWS Promotional Credits to both new and existing K12 customers.

In this post, we explore the complexities of data privacy and controls on Amazon Web Services (AWS), examine how creating a landing zone within which to contain such data is important, and highlight the differences between creating a landing zone from scratch compared with using the AWS Landing Zone Accelerator (LZA) for Healthcare. To aid explanation, we use a simple healthcare workload as an example. We also explain how LZA for Healthcare codifies HIPAA controls and AWS Security Best Practices to accelerate the creation of an environment to run protective health information workloads in AWS.