Skip to content

Commit e871118

Browse files
author
Larry Franks
committed
adding a note about SDK version that the code snippets in the document was tested against
1 parent f63edc7 commit e871118

File tree

1 file changed

+3
-0
lines changed

1 file changed

+3
-0
lines changed

articles/machine-learning/concept-enterprise-security.md

Lines changed: 3 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -18,6 +18,9 @@ In this article, you'll learn about security features available for Azure Machin
1818

1919
When you use a cloud service, a best practice is to restrict access to only the users who need it. Start by understanding the authentication and authorization model used by the service. You might also want to restrict network access or securely join resources in your on-premises network with the cloud. Data encryption is also vital, both at rest and while data moves between services. Finally, you need to be able to monitor the service and produce an audit log of all activity.
2020

21+
> [!NOTE]
22+
> Code in this document was tested with Azure Machine Learning SDK version 1.0.83.1 or higher.
23+
2124
## Authentication
2225

2326
Multi-factor authentication is supported if Azure Active Directory (Azure AD) is configured to use it. Here's the authentication process:

0 commit comments

Comments
 (0)