AWS wellarchitected documentation change
Summary
Fixed typo in 'Parameter Store' and removed a link to 'Amazon Sagemaker Workshop - Using Secure Environments'
Security assessment
The change corrects a spelling error and removes an external workshop link. There is no evidence of addressing a security vulnerability or adding new security documentation.
Diff
diff --git a/wellarchitected/latest/machine-learning-lens/mlsec-04.md b/wellarchitected/latest/machine-learning-lens/mlsec-04.md index 20bf2872f..589a5bd79 100644 --- a//wellarchitected/latest/machine-learning-lens/mlsec-04.md +++ b//wellarchitected/latest/machine-learning-lens/mlsec-04.md @@ -17 +17 @@ Secure any system or environment that hosts data or enables model development. S - * **Use Secrets Manager and Paramater Store to protect credentials** \- Secrets Manager enables you to replace hard-coded secrets in your code, such as credentials, with an API call to decrypt and retrieve the secret programmatically. Parameter Store was designed for wider use cases than secrets or passwords, but allows you to store application configuration variables such as AMI IDs or license keys. With [AWS Secrets Manager](https://aws.amazon.com/secrets-manager) and Parameter Store, you can store your credentials, and then grant permissions to your SageMaker AI IAM role to access Secrets Manager from your notebook. + * **Use Secrets Manager and Parameter Store to protect credentials** \- Secrets Manager enables you to replace hard-coded secrets in your code, such as credentials, with an API call to decrypt and retrieve the secret programmatically. Parameter Store was designed for wider use cases than secrets or passwords, but allows you to store application configuration variables such as AMI IDs or license keys. With [AWS Secrets Manager](https://aws.amazon.com/secrets-manager) and Parameter Store, you can store your credentials, and then grant permissions to your SageMaker AI IAM role to access Secrets Manager from your notebook. @@ -36,2 +35,0 @@ Secure any system or environment that hosts data or enables model development. S - * [Amazon Sagemaker Workshop - Using Secure Environments](https://sagemaker-workshop.com/security_for_users.html) -