AWS AmazonS3 documentation change
Summary
Corrected integration service name from SageMaker Lakehouse to AWS Lake Formation and adjusted access management documentation.
Security assessment
The change updates documentation to correctly reference AWS Lake Formation for managing fine-grained access control, which is a security feature. However, there is no indication of a security vulnerability being addressed, only a correction in service naming.
Diff
diff --git a/AmazonS3/latest/userguide/s3-tables-setting-up.md b/AmazonS3/latest/userguide/s3-tables-setting-up.md index c207407fb..78e8f8fa0 100644 --- a//AmazonS3/latest/userguide/s3-tables-setting-up.md +++ b//AmazonS3/latest/userguide/s3-tables-setting-up.md @@ -9 +9 @@ ResourcesActions for S3 TablesCondition keys -In S3 Tables resources include table buckets and the tables that they contain. The root user of the AWS account that created the resource (the resource owner) and AWS Identity and Access Management (IAM) users within that account that have the necessary permissions can access a resource that they created. The resource owner specifies who else can access the resource and the actions that they are allowed to perform on the resource. Amazon S3 has various access management tools that you can use to grant others access to your S3 resources. If you've integrated your tables with AWS Amazon SageMaker Lakehouse you can also manage fine-grained access to your tables and namespaces with Lake Formation. The following topics provide you with an overview of resources, IAM actions, and condition keys for S3 Tables. They also provide examples for both resource-based and identity-based policies for S3 Tables. +In S3 Tables resources include table buckets and the tables that they contain. The root user of the AWS account that created the resource (the resource owner) and AWS Identity and Access Management (IAM) users within that account that have the necessary permissions can access a resource that they created. The resource owner specifies who else can access the resource and the actions that they are allowed to perform on the resource. Amazon S3 has various access management tools that you can use to grant others access to your S3 resources. If you've integrated your tables with AWS Lake Formation, then you can also manage fine-grained access to your tables and namespaces. The following topics provide you with an overview of resources, IAM actions, and condition keys for S3 Tables. They also provide examples for both resource-based and identity-based policies for S3 Tables.