AWS sagemaker documentation change
Summary
Added multiple new MLflow actions for logged model management
Security assessment
Introduces documentation for new security-related API actions (model access controls, parameter logging, artifact management) but doesn't address existing vulnerabilities.
Diff
diff --git a/sagemaker/latest/dg/mlflow-create-tracking-server-iam.md b/sagemaker/latest/dg/mlflow-create-tracking-server-iam.md index 56d93fa6e..be3a4e513 100644 --- a//sagemaker/latest/dg/mlflow-create-tracking-server-iam.md +++ b//sagemaker/latest/dg/mlflow-create-tracking-server-iam.md @@ -283,0 +284,18 @@ The following SageMaker AI MLflow actions are supported for authorization access + * sagemaker-mlflow:FinalizeLoggedModel + + * sagemaker-mlflow:GetLoggedModel + + * sagemaker-mlflow:DeleteLoggedModel + + * sagemaker-mlflow:SearchLoggedModels + + * sagemaker-mlflow:SetLoggedModelTags + + * sagemaker-mlflow:DeleteLoggedModelTag + + * sagemaker-mlflow:ListLoggedModelArtifacts + + * sagemaker-mlflow:LogLoggedModelParams + + * sagemaker-mlflow:LogOutputs +