AWS Identity and Access Management (IAM)

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Configure fine-grained access to Amazon Bedrock models using Amazon SageMaker Unified Studio

Amazon Bedrock, Amazon Machine Learning, Amazon SageMaker Unified Studio, Artificial Intelligence, AWS Identity and Access Management (IAM), Security, Identity, & Compliance, Technical How-to /

Enterprises adopting advanced AI solutions recognize that robust security and precise access control are essential for protecting valuable data, maintaining compliance, and preserving user trust. As organizations expand AI usage across teams and applications, they require granular permissions to safeguard sensitive information and manage who can access powerful models. Amazon SageMaker Unified Studio addresses these […]

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Multi-account support for Amazon SageMaker HyperPod task governance

Amazon Elastic Kubernetes Service, Amazon SageMaker HyperPod, Artificial Intelligence, AWS Identity and Access Management (IAM), Best Practices, Intermediate (200) /

GPUs are a precious resource; they are both short in supply and much more costly than traditional CPUs. They are also highly adaptable to many different use cases. Organizations building or adopting generative AI use GPUs to run simulations, run inference (both for internal or external usage), build agentic workloads, and run data scientists’ experiments.

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Secure distributed logging in scalable multi-account deployments using Amazon Bedrock and LangChain

Amazon Bedrock, AWS Identity and Access Management (IAM), Generative AI, Technical How-to /

Data privacy is a critical issue for software companies that provide services in the data management space. If they want customers to trust them with their data, software companies need to show and prove that their customers’ data will remain confidential and within controlled environments. Some companies go to great lengths to maintain confidentiality, sometimes

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