Category: Security, Identity, & Compliance

National security and defense depend upon close collaboration between international allies. To protect sensitive data and promote robust cybersecurity frameworks, organizations must consider one another’s compliance requirements. One such requirement is the United States International Traffic in Arms Regulations (ITAR), which restricts and controls the export of defense and military-related technologies in order to safeguard US national security. Here, we set out how an innovation called Trusted Secure Enclaves (TSE) on Amazon Web Services (AWS) allows non-US national organizations who want to use the most modern and innovative technology to deliver defense and security missions using the cloud can do this and be compliant.

EDUCAUSE and the Shared Assessments working group collaborated with Internet2 and REN-ISAC, to create the Higher Education Community Vendor Assessment Toolkit (HECVAT). EDUCAUSE is a non-profit association committed to advancing the use of technology and data in higher education. The HECVAT is a third-party, vendor questionnaire framework designed for higher education institutions to evaluate the security and privacy posture of cloud and technology providers. It is intended to centralize vendor security and compliance information for ease of use. Amazon Web Services (AWS) now offers both the HECVAT Lite version and Full version to customers on-demand.

In an earlier post, Build secure and scalable data platforms for the European Health Data Space (EHDS) with AWS, we discussed a reference architecture for building secure and scalable data platforms for secondary usage of health data in alignment with the European Health Data Space (EHDS) using Amazon Web Services (AWS). This follow-up post walks you through the technical implementation details for building such federated data governance and analysis platforms using AWS. Whether you are a healthcare organization, technology provider, or systems integrator, this post aims to equip you with the technical knowledge to build a secure data platform for secondary usage of health data in alignment with the EHDS Regulation.

Sharing data is essential for organizations to make informed decisions and foster innovation. Amazon Web Services (AWS) offers a variety of tools and services to help distribute data securely and at scale. Whether it’s sharing public data for the common good, monetizing private datasets for business purposes, or collaborating with colleagues, AWS provides the necessary infrastructure and support. Read this post to learn more.

The healthcare industry is undergoing a profound transformation, driven by the adoption of generative artificial intelligence (AI), cloud computing, and connected care devices. This digital revolution promises to improve patient outcomes, reduce costs, and enhance the overall healthcare experience. However, it also introduces new challenges in terms of cybersecurity, privacy, and regulatory compliance. To navigate this complex landscape, healthcare organizations are turning to scalable, affordable, and highly available cloud infrastructures such as Amazon Web Services (AWS) to build resilient, secure, and innovative solutions.

Amazon Web Services (AWS) today announced the launch of its first AWS UK Cyber Education Grant Program, a £5 million initiative aimed at strengthening the cybersecurity capabilities of educational institutions across the United Kingdom. Read this post to learn more about the program.

AWS App Studio is a low-code development platform for users to build, deploy, and manage applications without extensive coding knowledge. It is designed to streamline the application development process, making it more accessible to a wider range of users, including business users, IT professionals, and startups that don’t have large specialized IT teams. This post guides you through the process of creating a user-friendly create, read, update, and delete (CRUD) application to efficiently manage birth certificate applications using AWS App Studio.

Today, generative artificial intelligence (AI) is at the core of many of the decisions and technologies businesses across the globe are implementing. The linchpin to ensuring that generative AI is effective depends on the foundation models (FMs) storing the data. To make sure that those FMs are pulling the correct data, Amazon Web Services (AWS) has developed a solution through Amazon Bedrock to generate SQL to answer user questions about the data. The solution was developed to support the Federal Institute of São Paulo (IFSP) and has optimized their decision-making.

Amazon Bedrock is now generally available in the Amazon Web Services (AWS) Top Secret cloud. With authority to operate in the AWS Top Secret Cloud, Amazon Bedrock is providing U.S. Government customers with secure access to foundation models (FMs) and generative artificial intelligence (AI) capabilities within AWS’s classified environment.

In this post, we explore how generative artificial intelligence (AI), powered by services such as Amazon Bedrock and Amazon SageMaker, can be harnessed to meet the unique challenges of AWS GovCloud (US). We highlight use cases that demonstrate the potential of generative AI to enhance efficiency, automate workflows, and extract insights—all within a secure, compliant framework.