Amazon SageMaker Canvas provides granular control over access to generative AI capabilities from Amazon Bedrock and SageMaker JumpStart using IAM policies, enabling enterprises to maintain secure and compliant use of cutting-edge AI in a no-code environment.

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<p>This article discusses how to govern access to generative AI models in Amazon SageMaker Canvas using AWS Identity and Access Management (IAM) policies. It covers strategies for controlling access to Amazon Bedrock and SageMaker JumpStart models in an enterprise environment.</p>
<p>Specifically, the article covers:</p>
<ul>
<li>Solution overview and architecture</li>
<li>Governing Amazon Bedrock access by limiting access to all models or specific models</li>
<li>Governing SageMaker JumpStart access by limiting deployment of all models or specific models</li>
<li>Cleanup steps to avoid incurring workspace instance charges</li>
<li>Conclusion and further reading</li>
</ul>
</div>


Govern generative AI in the enterprise with Amazon SageMaker Canvas

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