Posted On: Jan 10, 2023
Today we are announcing support for tags in IAM policies to allow granular control over access to Amazon Personalize resources and operations. Amazon Personalize enables developers to improve customer engagement through personalized product and content recommendations – no ML expertise required. Tags are labels in the form of key-value pairs that can be attached to individual Amazon Personalize resources to manage resources, or allocate costs. With this launch, customers can also perform tag based access control for Amazon Personalize resources and operations such as modify, update or delete. For example, you can limit access to delete or update operations to specific individuals to avoid any accidental impact to your production environment. This functionality also allows customers with multi-tenant deployments to partition access to resources across their end customers. This functionality is available for several Amazon Personalize resources such as dataset groups, solutions, campaigns, recommenders, import jobs, batch inference, batch segment jobs and other resources.
For a complete list of the supported resources and to learn more on how to perform tag-based authorization for your Amazon Personalize resources, see the Amazon Personalize Developer Guide. Tagging support for Amazon Personalize resources is available in all Amazon Personalize regions.
Amazon Personalize enables you to personalize your website, app, ads, emails, and more, using the same machine learning technology as used by Amazon, without requiring any prior machine learning experience. To get started with Amazon Personalize, visit our documentation.