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In this post, we analyze strategies for governing access to Amazon Bedrock and SageMaker JumpStart models from within SageMaker Canvas using AWS Identity and Access Management (IAM) policies. You’ll learn how to create granular permissions to control the invocation of ready-to-use Amazon Bedrock models and prevent the provisioning of SageMaker endpoints with specified SageMaker JumpStart models.
Originally appeared here:
Govern generative AI in the enterprise with Amazon SageMaker Canvas
Go Here to Read this Fast! Govern generative AI in the enterprise with Amazon SageMaker Canvas
