Tag: AWS IAM Identity Center

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.

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.

PubMed Central (PMC) is a leading resource for biomedical literature, offering a vast repository of full-text biomedical and life sciences journal articles. While PMC offers immense potential to accelerate scientific progress, inform evidence-based practice, and drive innovation in the biomedical and life sciences fields, the sheer volume of data presents a significant challenge. This is where Amazon Q Business comes in. It’s a powerful service designed to streamline the process of analyzing vast amounts of scientific literature and provide valuable insights efficiently. Read this post to learn more.

Healthcare organizations face a significant challenge in making sense of the vast amounts of unstructured medical data trapped in patient records, lab results, and clinical guidelines. Approximately 97 percent of the 50 petabytes (PB) of healthcare data generated annually goes unused. This untapped resource could hold the key to improving patient care and saving valuable clinician time. Read this post learn how we built an innovative solution on Amazon Web Services (AWS) generative artificial intelligence (AI) capabilities that lets clinicians unlock this data treasure trove.

Federal agencies can use Amazon Web Services (AWS) to meet Trusted Internet Connections (TIC) 3.0 requirements. To facilitate this, AWS has published detailed architectural overlays that demonstrate how to effectively implement TIC 3.0 guidelines within AWS deployments. AWS Verified Access (AVA) is a cloud-based service that enables secure access to applications without requiring the use of a virtual private network (VPN). It evaluates each application request and gives users access to each application only when they meet the specified security requirements. AVA supports TIC 3.0 requirements in the areas of configuration management, centralized log management, strong authentication features, resilience, and policy enforcement. Read this post to learn more.

A multi-account strategy is important for Amazon Web Services (AWS) public sector customers because it is the foundation of cloud governance and compliance. Public sector customers using a shared account model can improve security and operational efficiency by adopting a multi-account strategy. In this post, we explore methods for existing AWS public sector customers to prepare for and migrate to a multi-account environment.

Amazon Web Services (AWS) offers a variety of options for building chat-based assistants with generative artificial intelligence (AI) capabilities. The goal of this post is to present in simple words some of these options and what to keep in mind to decide which to use and how to get started.

The Generative AI Sandbox on AWS, powered by Amazon Bedrock Studio, provides a secure, governed, and isolated environment for organizations to explore the power of large language models (LLMs) and other generative artificial intelligence capabilities. Bedrock Studio users can test different LLMs side by side to understand which ones best suit their specific use cases: from drafting policy documents to analyzing public feedback, or creating educational content.

In January 2020, Amazon Web Services (AWS) inaugurated a Cloud Innovation Centre (CIC) at the University of British Columbia (UBC). The CIC uses emerging technologies to solve real-world problems and has produced more than 50 prototypes in sectors like healthcare, education, and research. The Centre’s work has involved 300-plus AWS accounts across various groups, including external collaborators, UBC staff, students, and researchers. This post discusses the management of AWS in higher education institutions, emphasizing governance to securely foster innovation without compromising security and detailing policies and responsibilities for managing AWS accounts across projects and research.

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.