Category: Amazon Simple Storage Service (S3)

In this post, we share a reference AWS architecture that healthcare organizations, health plans, and state agencies can use to deploy AI agents while maintaining HIPAA compliance.

In this post, we explain what IL5 requires, how AWS GovCloud (US) and SAP NS2 meet those requirements together, and how defense organizations can get started.

In this post, we explore practical design patterns for SaaS offerings on Amazon Web Services (AWS) and show how sovereignty can be a tunable design dimension rather than an all-or-nothing rebuild.

In this post, we discuss what changed in federal logging requirements from M-21-31 to M-26-14, and how agencies can prepare ahead of the forthcoming Cybersecurity and Infrastructure Security Agency (CISA) logging reference architecture (LRA).

Amazon Web Services (AWS) is collaborating with Expando, a Swedish defense technology company, to help European public sector organizations build exactly that kind of layered, resilient data infrastructure. Together, AWS and Expando offer a connected approach to data protection that spans rugged edge deployments, disconnected field operations, customer-owned secure locations, and the full power of the AWS Cloud.

Learn how Amazon Web Services (AWS) has collaborated with the University of Technology Sydney (UTS) to make a more engaging content delivery platform as an alternative to long lecture videos.

to meet this demand.
The Kayode Alabi Leadership and Career Initiative (KLCI Africa), a nonprofit social enterprise headquartered in Lagos, Nigeria, set out to solve this problem using generative AI and Amazon Web Services (AWS). In this post, we describe how KLCI Africa built Rafiki AI, a WhatsApp-based generative AI career advisor that delivers personalized career guidance to underserved and displaced youth in under 2 minutes.

In this post, we walk through three extended capabilities of Amazon S3: Amazon S3 Metadata, Amazon S3 Vectors, and Amazon S3 Tables and explore how each maps to real challenges government agencies face today.

In this post, you can learn what distinguishes this reanalyzed dataset from prior 1000 Genomes Project call sets, how to access the data, and how to explore it using both bioinformatics tools and a natural-language query interface built on Amazon Bedrock.

This post introduces the Geospatial Power Pack, a Kiro power package that turns Kiro into a unified, AI-assisted geospatial workspace. Kiro is an agentic development environment created by Amazon Web Services (AWS). It helps developers and teams turn prompts into executable specs, validate code correctness to find bugs that unit tests miss, and build across large codebases with parallel agents that learn from every session.