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This security baseline applies guidance from the Microsoft cloud security benchmark version 1.0 to Data Factory. The Microsoft cloud security benchmark provides recommendations on how you can secure your cloud solutions on Azure. The content is grouped by the security controls defined by the Microsoft cloud security benchmark and the related guidance applicable to Data Factory.
You can monitor this security baseline and its recommendations using Microsoft Defender for Cloud. Azure Policy definitions will be listed in the Regulatory Compliance section of the Microsoft Defender for Cloud portal page.
When a feature has relevant Azure Policy Definitions, they are listed in this baseline to help you measure compliance with the Microsoft cloud security benchmark controls and recommendations. Some recommendations may require a paid Microsoft Defender plan to enable certain security scenarios.
Napomena
Features not applicable to Data Factory have been excluded. To see how Data Factory completely maps to the Microsoft cloud security benchmark, see the full Data Factory security baseline mapping file.
The security profile summarizes high-impact behaviors of Data Factory, which may result in increased security considerations.
| Service Behavior Attribute | Value |
|---|---|
| Product Category | Analytics, Integration |
| Customer can access HOST / OS | No Access |
| Service can be deployed into customer's virtual network | True |
| Stores customer content at rest | True |
For more information, see the Microsoft cloud security benchmark: Network security.
Description: Service supports deployment into customer's private Virtual Network (VNet). Learn more.
| Supported | Enabled By Default | Configuration Responsibility |
|---|---|---|
| True | False | Customer |
Feature notes: Azure-SSIS Integration runtime supports virtual network injection on the customer's virtual network. When creating an Azure-SSIS Integration Runtime (IR), you can join it with a virtual network. It will allow Azure Data Factory to create certain network resources, like an NSG and a load balancer. You can also provide your own static public IP address or have Azure Data Factory create one for you. Self-hosted integration runtime (IR) can be set up on IaaS VM within the customer's virtual network. The network traffic is also governed by the customer's NSG and firewall settings.
Configuration Guidance: There is no current Microsoft guidance for this feature configuration. Please review and determine if your organization wants to configure this security feature.
Reference: Join Azure-SSIS integration runtime to a virtual network
Description: Service network traffic respects Network Security Groups rule assignment on its subnets. Learn more.
| Supported | Enabled By Default | Configuration Responsibility |
|---|---|---|
| True | False | Customer |
Feature notes: Azure-SSIS Integration runtime supports virtual network injection on the customer's virtual network. It abides by all NSG and firewall rules set by the customer in their virtual network. When creating an Azure-SSIS Integration Runtime (IR), you can join it with a virtual network. It will allow Azure Data Factory to create certain network resources, like an NSG and a load balancer. You can also provide your own static public IP address or have Azure Data Factory create one for you. On the NSG that is automatically created by Azure Data Factory, Port 3389 is open to all traffic by default. Lock the port down to make sure that only your administrators have access.
Self-hosted integration runtime (IR) can be set up on IaaS VM within the customer's virtual network. The network traffic is also governed by the customer's NSG and firewall settings.
Based on your applications and enterprise segmentation strategy, restrict or allow traffic between internal resources based on your NSG rules. For specific, well-defined applications like a three-tier app, it can be a highly secure deny-by-default.
Configuration Guidance: There is no current Microsoft guidance for this feature configuration. Please review and determine if your organization wants to configure this security feature.
Reference: Join Azure-SSIS integration runtime to a virtual network
Description: Service native IP filtering capability for filtering network traffic (not to be confused with NSG or Azure Firewall). Learn more.
| Supported | Enabled By Default | Configuration Responsibility |
|---|---|---|
| True | False | Customer |
Additional Guidance: You can configure private endpoints in the Azure Data Factory Managed Virtual Network to connect to data stores privately.
Data Factory doesn't provide the capability to configure Virtual Network service endpoints.
When you create an Azure-SSIS Integration Runtime (IR), you can join it with a virtual network. It allows Azure Data Factory to create certain network resources, like an NSG and a load balancer. You can also provide your own static public IP address or have Azure Data Factory create one for you. On the NSG that is automatically created by Azure Data Factory, Port 3389 is open to all traffic by default. Lock the port down to ensure that only your administrators have access. You can deploy Self-Hosted IRs on an on-premises machine or Azure VM inside a virtual network. Make sure that your virtual network subnet deployment has an NSG configured to allow only administrative access. Azure-SSIS IR disallows port 3389 outbound by default at the Windows Firewall Rule on each IR node for protection. You can secure your virtual network-configured resources by associating an NSG with the subnet and setting strict rules.
Reference: Azure Private Link for Azure Data Factory
Description: Service supports disabling public network access either through using service-level IP ACL filtering rule (not NSG or Azure Firewall) or using a 'Disable Public Network Access' toggle switch. Learn more.
| Supported | Enabled By Default | Configuration Responsibility |
|---|---|---|
| True | False | Customer |
Feature notes: Disabling public network access is applicable only to Self-Hosted Integration Runtime (SHIR) and not Azure IR or SSIS IR. With SHIR, enabling private link data factory doesn’t explicitly block the public access but customer can block public access manually.
Configuration Guidance: There is no current Microsoft guidance for this feature configuration. Please review and determine if your organization wants to configure this security feature.
Reference: Azure Private Link for Azure Data Factory
For more information, see the Microsoft cloud security benchmark: Identity management.
Description: Service supports using Azure AD authentication for data plane access. Learn more.
| Supported | Enabled By Default | Configuration Responsibility |
|---|---|---|
| True | False | Customer |
Feature notes: Data Factory can natively authenticate to the Azure services and resources that support Azure AD authentication.
Configuration Guidance: There is no current Microsoft guidance for this feature configuration. Please review and determine if your organization wants to configure this security feature.
Reference: Managed identity for Azure Data Factory
Description: Local authentications methods supported for data plane access, such as a local username and password. Learn more.
| Supported | Enabled By Default | Configuration Responsibility |
|---|---|---|
| True | False | Customer |
Feature notes: You can use Windows authentication to access data sources from SSIS packages running on Azure-SSIS Integration Runtime (IR). Your data stores can be on premises, hosted on Azure Virtual Machines (VMs), or running in Azure as managed services. However, we recommend avoiding the usage of local authentication and using Azure AD wherever possible. Avoid the usage of local authentication methods or accounts, these should be disabled wherever possible. Instead use Azure AD to authenticate where possible.
Configuration Guidance: There is no current Microsoft guidance for this feature configuration. Please review and determine if your organization wants to configure this security feature.
Reference: Access data stores and file shares with Windows authentication from SSIS packages in Azure
Description: Data plane actions support authentication using managed identities. Learn more.
| Supported | Enabled By Default | Configuration Responsibility |
|---|---|---|
| True | False | Customer |
Feature notes: By default, when creating data factory through Azure portal or PowerShell, managed identity will be created automatically. Using SDK or REST API, managed identity will be created only if user specifies “identity” keyword explicitly.
Configuration Guidance: There is no current Microsoft guidance for this feature configuration. Please review and determine if your organization wants to configure this security feature.
Reference: Managed identity for Azure Data Factory and Azure Synapse
Description: Data plane supports authentication using service principals. Learn more.
| Supported | Enabled By Default | Configuration Responsibility |
|---|---|---|
| True | False | Customer |
Feature notes: Data Factory allows you to use Managed identities, Service Principles to authenticate against data stores and compute that support AAD authentication.
Configuration Guidance: There is no current Microsoft guidance for this feature configuration. Please review and determine if your organization wants to configure this security feature.
Description: Data plane access can be controlled using Azure AD Conditional Access Policies. Learn more.
| Supported | Enabled By Default | Configuration Responsibility |
|---|---|---|
| True | False | Customer |
Configuration Guidance: There is no current Microsoft guidance for this feature configuration. Please review and determine if your organization wants to configure this security feature.
Reference: Conditional Access: Cloud apps, actions, and authentication context
Description: Data plane supports native use of Azure Key Vault for credential and secrets store. Learn more.
| Supported | Enabled By Default | Configuration Responsibility |
|---|---|---|
| True | False | Customer |
Feature notes: You can store credentials for data stores and computes in an Azure Key Vault. Azure Data Factory retrieves the credentials when executing an activity that uses the data store/compute.
Configuration Guidance: There is no current Microsoft guidance for this feature configuration. Please review and determine if your organization wants to configure this security feature.
Reference: Store credentials in Azure Key Vault
For more information, see the Microsoft cloud security benchmark: Privileged access.
Description: Service has the concept of a local administrative account. Learn more.
| Supported | Enabled By Default | Configuration Responsibility |
|---|---|---|
| False | Not Applicable | Not Applicable |
Configuration Guidance: This feature is not supported to secure this service.
Description: Azure Role-Based Access Control (Azure RBAC) can be used to managed access to service's data plane actions. Learn more.
| Supported | Enabled By Default | Configuration Responsibility |
|---|---|---|
| True | True | Microsoft |
Feature notes: Data Factory integrates with Azure RBAC to manage its resources. With RBAC, you manage Azure resource access through role assignments. You can assign roles to users, groups, service principals, and managed identities. Certain resources have pre-defined, built-in roles. You can inventory or query these roles through tools like Azure CLI, Azure PowerShell, or the Azure portal.
Limit the privileges you assign to resources through Azure RBAC to what the roles require. This practice complements the just-in-time (JIT) approach of Azure AD PIM. Review roles and assignments periodically.
Use built-in roles to give permissions. Only create custom roles when required.
You can create a custom role in Azure AD with more restrictive access to Data Factory.
Configuration Guidance: No additional configurations are required as this is enabled on a default deployment.
Reference: Roles and permissions for Azure Data Factory
Description: Customer Lockbox can be used for Microsoft support access. Learn more.
| Supported | Enabled By Default | Configuration Responsibility |
|---|---|---|
| True | False | Customer |
Configuration Guidance: There is no current Microsoft guidance for this feature configuration. Please review and determine if your organization wants to configure this security feature.
Reference: Customer Lockbox for Microsoft Azure
For more information, see the Microsoft cloud security benchmark: Data protection.
Description: Tools (such as Azure Purview or Azure Information Protection) can be used for data discovery and classification in the service. Learn more.
| Supported | Enabled By Default | Configuration Responsibility |
|---|---|---|
| True | False | Customer |
Configuration Guidance: There is no current Microsoft guidance for this feature configuration. Please review and determine if your organization wants to configure this security feature.
Reference: Connect Data Factory to Microsoft Purview
Description: Service supports DLP solution to monitor sensitive data movement (in customer's content). Learn more.
| Supported | Enabled By Default | Configuration Responsibility |
|---|---|---|
| False | Not Applicable | Not Applicable |
Configuration Guidance: This feature is not supported to secure this service.
Description: Service supports data in-transit encryption for data plane. Learn more.
| Supported | Enabled By Default | Configuration Responsibility |
|---|---|---|
| True | True | Microsoft |
Configuration Guidance: No additional configurations are required as this is enabled on a default deployment.
Reference: Security considerations for data movement in Azure Data Factory
Description: Data at-rest encryption using platform keys is supported, any customer content at rest is encrypted with these Microsoft managed keys. Learn more.
| Supported | Enabled By Default | Configuration Responsibility |
|---|---|---|
| True | True | Microsoft |
Configuration Guidance: No additional configurations are required as this is enabled on a default deployment.
Reference: Encrypt Azure Data Factory with customer-managed keys
Description: Data at-rest encryption using customer-managed keys is supported for customer content stored by the service. Learn more.
| Supported | Enabled By Default | Configuration Responsibility |
|---|---|---|
| True | False | Customer |
Configuration Guidance: There is no current Microsoft guidance for this feature configuration. Please review and determine if your organization wants to configure this security feature.
Reference: Encrypt Azure Data Factory with customer-managed keys
Description: The service supports Azure Key Vault integration for any customer keys, secrets, or certificates. Learn more.
| Supported | Enabled By Default | Configuration Responsibility |
|---|---|---|
| True | False | Customer |
Configuration Guidance: There is no current Microsoft guidance for this feature configuration. Please review and determine if your organization wants to configure this security feature.
Reference: Store credentials in Azure Key Vault
Description: The service supports Azure Key Vault integration for any customer certificates. Learn more.
| Supported | Enabled By Default | Configuration Responsibility |
|---|---|---|
| True | False | Customer |
Configuration Guidance: There is no current Microsoft guidance for this feature configuration. Please review and determine if your organization wants to configure this security feature.
Reference: Store credentials in Azure Key Vault
For more information, see the Microsoft cloud security benchmark: Asset management.
Description: Service configurations can be monitored and enforced via Azure Policy. Learn more.
| Supported | Enabled By Default | Configuration Responsibility |
|---|---|---|
| True | False | Customer |
Feature notes: Use Azure Policy to audit and restrict which services users can provision in your environment. Use Azure Resource Graph to query for and discover resources within subscriptions. You can also use Azure Monitor to create rules to trigger alerts when they detect an unapproved service.
Configuration Guidance: There is no current Microsoft guidance for this feature configuration. Please review and determine if your organization wants to configure this security feature.
Reference: Azure Policy built-in definitions for Data Factory
For more information, see the Microsoft cloud security benchmark: Logging and threat detection.
Description: Service has an offering-specific Microsoft Defender solution to monitor and alert on security issues. Learn more.
| Supported | Enabled By Default | Configuration Responsibility |
|---|---|---|
| False | Not Applicable | Not Applicable |
Feature notes: Self-hosted IR (SHIR) running on Azure VMs and containers, uses Defender for establishing the secure configuration.
Configuration Guidance: This feature is not supported to secure this service.
Description: Service produces resource logs that can provide enhanced service-specific metrics and logging. The customer can configure these resource logs and send them to their own data sink like a storage account or log analytics workspace. Learn more.
| Supported | Enabled By Default | Configuration Responsibility |
|---|---|---|
| True | True | Microsoft |
Feature notes: Activity logs are available automatically. You can use activity logs to find errors when troubleshooting, or to monitor how users in your organization modified resources.
Use Microsoft Defender for Cloud and Azure Policy to enable resource logs and log data collecting.
Configuration Guidance: No additional configurations are required as this is enabled on a default deployment.
Reference: Diagnostic settings in Azure Monitor
For more information, see the Microsoft cloud security benchmark: Backup and recovery.
Description: Service supports its own native backup capability (if not using Azure Backup). Learn more.
| Supported | Enabled By Default | Configuration Responsibility |
|---|---|---|
| True | False | Customer |
Feature notes: To back up all code on Azure Data Factory, use source control functionality in Data Factory.
Configuration Guidance: There is no current Microsoft guidance for this feature configuration. Please review and determine if your organization wants to configure this security feature.
Reference: Source control in Azure Data Factory
Obuka
Modul
Operationalize your Azure Data Factory or Azure Synapse Pipeline - Training
Operationalize your Azure Data Factory or Azure Synapse Pipeline
Certifikacija
Microsoft Certified: Azure Database Administrator Associate - Certifications
Administer an SQL Server database infrastructure for cloud, on-premises and hybrid relational databases using the Microsoft PaaS relational database offerings.
Dokumentacija
Security considerations - Azure Data Factory
Describes basic security infrastructure that data movement services in Azure Data Factory use to help secure your data.
Encrypt Azure Data Factory with customer-managed key - Azure Data Factory
Enhance Data Factory security with Bring Your Own Key (BYOK)