Category: Storage

Spanish space-tech company IENAI SPACE put its cloud-based mission analysis platform, 360™, through the AWS Foundational Technical Review (FTR)—and came out stronger. In this post, we explore how the FTR process helped the team harden per-tenant data isolation and encryption, build a continuous software-supply-chain security pipeline, and formalize backup and recovery objectives, all while running on AWS.

This post walks through what GeDaC built, the build decisions behind it, and why the pattern generalizes well beyond one lab.

This post demonstrates how to use Amazon Elastic Compute Cloud (Amazon EC2) instance attestation to produce cryptographically verifiable Amazon Machine Images (AMIs) for your DevSecOps platform and pipeline—the software factory that builds and delivers your workloads.

Analysts manually reviewing virtual reams of sensitive documents, looking for one key detail, need a more efficient way to search. They know generative AI must be able to do the job, but what they don’t know is whether they can apply generative AI to law enforcement data. You can, and Amazon Web Services (AWS) offers […]

This post will explore how to navigate those constraints and build resilient connectivity patterns that allow agencies to run production workloads on AWS.

This post, which details a collaboration between a national genomics research institute and Temus using Amazon Web Services (AWS), demonstrates the power of combining deep bioinformatics with advanced AI models and machine learning methods in a scalable AWS environment to uncover novel patterns in complex viral genomes. In this post, we explore the details of a scalable proof of concept (POC) pipeline built on AWS that uses an advanced genomic foundation model and unsupervised clustering to transform raw genomic sequences into signals for further research.

In this post, we translate pillars into a deployable cloud foundation, focusing on the key postures of security, identity management, governance, network design, resilience, continuity, auditability, and operational independence.

In this post, we demonstrate RareDx, an agentic AI-powered application prototype, built on Amazon Bedrock AgentCore, Amazon Web Services (AWS) purpose-built AI services and open source toolkits for Healthcare and Life Sciences. RareDx guides physician geneticists through the entire diagnostic journey; from the first referral letter to the final insurance-coded report.

Learn how with Amazon Bedrock Knowledge Bases, you build an assistant that grounds answers in your trusted documents through Retrieval Augmented Generation (RAG).

In this blog, learn how we built a working prototype of a serverless environmental intelligence platform, where nontechnical users ask questions in plain language and receive answers drawn from open data, published models, and satellite observations. The platform is built on four pillars, as outlined in the following table.