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Deploying Anthropic Claude apps gateway for AWS for enterprise workloads

Deploying Anthropic Claude apps gateway for AWS for enterprise workloads

AI administrators deploying Claude Code and Claude Desktop across their workforce need centralized controls over authentication, model access, cost attribution, and spend enforcement. These controls reduce operational overhead and apply governance consistently at scale. Claude apps gateway provides a self-hosted governance layer between these applications and Amazon Bedrock or Claude Platform on AWS. Building on […]

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Run interactive IDEs on Amazon EKS with SageMaker AI to power up your AI workflows

Run interactive IDEs on Amazon EKS with SageMaker AI to power up your AI workflows

To power up AI workflows on Amazon Elastic Kubernetes Service (Amazon EKS), data scientists need interactive IDEs like JupyterLab and Code Editor. Yet running those IDEs usually means leaving the cluster that hosts their pipelines, moving to a standalone JupyterHub deployment or a local laptop. That switch leaves them without the GPU nodes, shared storage,

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How nOps shipped FinOps agents 75% faster with Amazon Bedrock AgentCore

How nOps shipped FinOps agents 75% faster with Amazon Bedrock AgentCore

nOps, an AI-powered cloud optimization solution, recently reimagined its Financial Operations (FinOps) analytics capabilities by transitioning to Amazon Bedrock AgentCore. Amazon Bedrock AgentCore is a service to build, connect, and optimize agents at scale, with any framework or model. The new foundation helps nOps better serve customers managing commitment optimization across Amazon Web Services (AWS),

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How Cohere Health digitizes clinical policies using Amazon Bedrock AgentCore

How Cohere Health digitizes clinical policies using Amazon Bedrock AgentCore

Prior authorization is the approval process health plans require before covering certain medical services or medications. It remains one of the most manual processes in healthcare, not because the medical reasoning for requiring approval is flawed, but because the policies that govern it are trapped in static, unstructured formats that resist automation. This content is

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How TReNDS automates root-cause analysis with Amazon Bedrock

How TReNDS automates root-cause analysis with Amazon Bedrock

This is a guest post co-written with Vitaly Omelchenko from the TReNDS Center at Georgia State University. At the Center for Translational Research in Neuroimaging and Data Science (TReNDS), a joint center of Georgia State University, Georgia Institute of Technology, and Emory University, we develop and apply advanced analytical methods and neuroinformatics tools for brain

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Determining playoff clinching scenarios in the NHL using constraint programming

Determining playoff clinching scenarios in the NHL using constraint programming

As the National Hockey League (NHL) regular season enters its final stretch each spring, one question dominates the minds of hockey fans: has my team clinched the playoffs? The answer is often surprisingly hard to discern. With 32 teams, complex tie-breaking rules, and hundreds of remaining games, determining whether a team is mathematically guaranteed a

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Securing AI agents with temporal policies in Amazon Bedrock AgentCore

Securing AI agents with temporal policies in Amazon Bedrock AgentCore

Before AI agents, it was generally sufficient for access controls to treat each action as an independent event. Applications relied on deterministic business logic to enforce whether actions happened in the right order or whether the data was up-to-date. AI agents behave in fundamentally different ways than traditional applications. They decide at runtime which tools

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Configure rate limits for AI traffic on AgentCore gateway

Configure rate limits for AI traffic on AgentCore gateway

Amazon Bedrock AgentCore gateway is a fully managed, serverless AI gateway that provides a single, secure entry point for AI traffic. AgentCore gateway routes traffic to tools such as managed web search, managed knowledge bases, MCP servers, inference models (LLMs), agents (A2A, agents as tools, etc.), or HTTP endpoint. Today, we are announcing support for

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Control agent behaviors and cost beyond a single action: new capabilities in Amazon Bedrock AgentCore

Control agent behaviors and cost beyond a single action: new capabilities in Amazon Bedrock AgentCore

Agents are becoming more autonomous and teams are running more of them, but trust and security have not kept pace. According to McKinsey, roughly 80% of organizations have already encountered risky behavior from AI agents. As a result, security and risk concerns are the leading barrier to scaling agentic AI (McKinsey’s State of AI Trust

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