Category: AWS Identity and Access Management (IAM)

This is part 3 of our three-part series on how Amazon Web Services (AWS) aligns with MPA Content Security Best Practices with a particular focus on media archives.

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.

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.

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.

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.

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.

Learn how Peloton uses Amazon Bedrock for access to frontier models, including Anthropic’s Claude Sonnet 4.6, Opus 4.7 and Opus 4.8. Amazon Bedrock also provides global cross-region inference, integration into AWS CloudTrail and AWS CloudWatch, and model access logging for the observability and audit controls its engineering organization requires.

Renewable energy operators face a growing challenge: Managing increasingly large, complex, high-value portfolios across solar, wind, and battery energy storage system (BESS) while meeting tighter compliance, grid, and market demands. Many operational workflows remain reactive, manual, and fragmented—limiting both performance and scalability. However, GreenBridge.AI is innovating renewable energy operations through AI agents for greater automated efficiency and scalability.

In this post, we show you how Amazon Nova Sonic, Amazon Bedrock AgentCore, and Strands Agents come together in VEMA (Voice-Enabled Manufacturing Assistant)—an AI-powered voice assistant that lets workers speak naturally to get instant answers, hands-free, in English or Spanish, without ever leaving their workstation.

Learn how BBVA leverages AWS technologies that provide the technical foundation while supporting the bank’s high standards for governance, risk management and auditability.