AWS for Industries

Category: AWS Identity and Access Management (IAM)

How to prepare for the proposed HIPAA Security Rule update with AWS Backup and the HIPAA Assistant

How to prepare for the proposed HIPAA Security Rule update with AWS Backup and the HIPAA Assistant

In this post, we summarize what HHS has proposed, when it is likely to matter, and how to use Amazon Web Services (AWS) to close the gaps now. We cover how AWS Backup maps to the three proposed backup and recovery obligations, and we introduce the HIPAA Assistant, an open source sample from AWS that reviews your infrastructure-as-code and application code for Security Rule gaps and cites each finding to the exact paragraph of the regulation.

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How Fastweb+Vodafone Automates Change Impact Analysis for Transport Networks with AWS

In this post, we explore how Celfocus, an Amazon Web Services (AWS) Partner specializing in digital transformation for the telecommunications industry, built an automated Change Impact Analysis solution in collaboration with Fastweb+Vodafone, one of Italy’s leading telecommunications operators.

Building AI-augmented B-pillar DFMEA on AWS: Architecture, multi-agent orchestration, and implementation

Building AI-augmented B-pillar DFMEA on AWS: Architecture, multi-agent orchestration, and implementation

In this post, we deliver the implementation blueprint. We walk through the complete reference architecture built on Amazon Web Services (AWS), break down the layer service topology, detail the multi-agent orchestration pattern using Amazon Bedrock AgentCore and the Strands Agents SDK.

Best Practices for Securing AWS Payment Cryptography Deployments

Best Practices for Securing AWS Payment Cryptography Deployments

In this post, we explore the security layers you can apply to protect your AWS Payment Cryptography deployment. These layers complement our existing Security Reference Architecture, which provides broader security guidelines for a multi-account environment. This post assumes you have already implemented those guidelines, including AWS IAM Identity Center.

Aligning AWS to MPA security best practices for media archives – Part 2

This is Part 2 of our three-part series on how Amazon Web Services (AWS) aligns with Motion Picture Association (MPA) Content Security Best Practices v5.3.1 for media archives. In this second installment, we turn to the operational and detective controls that complete the security picture.

Intelligent alarm management for power and utilities using Amazon Bedrock AgentCore

Intelligent alarm management for power and utilities using Amazon Bedrock AgentCore

In this post, we demonstrate how a large North American Utility is currently running a multi-agent AI architecture on Amazon Bedrock AgentCore to compress alarm triage from hours to minutes, avoiding the manual, multi-system investigation that operators perform dozens of times per shift. We will walk through the industry problem, the multi-agent design, and a reference implementation on GitHub that you can deploy into your own environment.

Aligning AWS to MPA security best practices for media archives – Part 1

Aligning AWS to MPA security best practices for media archives – Part 1

In this three-part series, we examine how AWS capabilities align with MPA security requirements. Part 1 covers foundational controls such as information security management systems (ISMS), identity and access management, network isolation, encryption, and authorization.

Enabling a new AWS Region for financial services enterprises

Enabling a new AWS Region for financial services enterprises

In this blog, we provide a practitioner-focused guide for enabling a new AWS Region in a financial services enterprise AWS environment. We walk through each workstream, from initial governance approval through networking, security, operations, and workload readiness, highlighting the considerations, dependencies, and common pitfalls that teams encounter.

Enterprise lab-in-the-loop on AWS: How Sanofi is compressing drug discovery from years to weeks

Enterprise lab-in-the-loop on AWS: How Sanofi is compressing drug discovery from years to weeks

Across R&D organizations, AI agents are beginning to design molecules, plan syntheses, execute assays, and analyze experimental data. But these systems often operate without awareness of prior experiments, failed approaches, or parallel work happening across the organization. In this blog, learn how Sanofi recognized this limitation early and partnered with Amazon Web Services (AWS) to reimagine the foundation for AI-enabled discovery.