---
sourceDocument: Australia IT Operations Management
sourceDocumentLink: https://www.servicenow.com/docs/r/australia/it-operations-management

 Release :

    - australia

ft:locale :

    - en-US

ft:publication_title :

    - Australia IT Operations Management

ft:clusterId :

    - itom

bundleId :

    - itom

workflow :

    - Technology


---

# Microsoft Foundry (classic)

# Microsoft Foundry (classic) pattern-based discovery {#ariaid-title1}

Release version: Australia  
Updated September 10, 2026  
![](https://www.servicenow.com/docs/portal-asset/ico-clock) 9 minutes to read
Summarize  
![AI sparkle icon](https://servicenow.com/docs/portal-asset/ai-sparkle-icon) Summarized using AI  
This content was generated using new OpenAI-powered functionality. Results are provided on an as is basis and are not guaranteed to be accurate or complete.  

## Summary of Microsoft Foundry (classic) pattern-based discovery

The Microsoft Foundry (classic) pattern-based discovery enables ServiceNow customers to discover Microsoft Foundry services, assistants, and models through AI Agent Topology Mapping during horizontal discovery.
This feature enhances visibility into AI-related assets within Azure environments and populates detailed data into both CMDB and non-CMDB tables, facilitating comprehensive asset management and service mapping.
Show full answer Show less  

## Discovery Requirements and Setup

* **Permissions:** Verify REST API permissions using the Cloud Discovery patterns spreadsheet, which provides required user permissions and pattern details. The spreadsheet is updated quarterly.
* **Application Updates:** Ensure the latest versions of AI Agent Topology Mapping, Discovery and Service Mapping Patterns, Visibility Content, CMDB CI Class Models, and Data Foundation Model (v1.13.2 or later) are installed from the ServiceNow Store.
* **CI Relationships:** Activate cloud-related CI relationships introduced in release 1.0.68 to integrate discovered components into service instances via tag-based discovery.
* **Azure-Specific Setup:**
  * Run clean-up jobs to remove pre-populated Azure Availability Set CIs.
  * Register Azure subscription IDs for AvailabilityZonePeering to enable Azure Availability Zone discovery.
  * Set up Azure service accounts with proper credentials, including support for Azure GovCloud (US) with datacenter URLs.
  * Create Azure cloud discovery schedules through the Discovery Admin Workspace.
  * Optionally, discover datacenters only for new subscriptions and improve query performance by populating Service Account and Logical Datacenter fields directly in cloud CIs.

## Data Collection and Models

The AI Agent Topology Mapping application uses several Microsoft Foundry patterns, including:

* Azure - AI Foundry Agents
* Azure - AI Service Foundry
* Azure - AI Service Foundry Project
* Azure - AI Foundry Models

These patterns collect detailed AI assets such as AI System Digital Assets, AI Prompt Digital Assets, and AI Model Digital Assets. The collected data is stored in both CMDB tables (e.g., AI Function, Azure AI Foundry, Azure AI Project, AI Model Deployment) and non-CMDB tables (e.g., AI System Digital Asset, AI Prompt Digital Asset, AI Model Digital Asset). Customers can view related asset information directly within CI records or through the AI Control Tower Workspace if available.

## Key Tables and Their Practical Use

* **Non-CMDB Tables:** Capture detailed AI asset metadata, including assistant names, prompts, models, states, vendors, and references to related models and configuration items.
* **CMDB Tables:** Represent Microsoft Foundry resources as configuration items with attributes such as operational and install status, descriptions, manufacturers, and resource types for comprehensive asset tracking.
* **Tag Data:** Azure AI Service Foundry and Project patterns collect Azure tags and store them in the Key Value table, linking tags to corresponding Azure AI Foundry and Azure AI Project CIs.

## CI Relationships and Dependency Mapping

The discovery patterns establish various relationships between Microsoft Foundry resources and Azure infrastructure components, such as hosting, containment, deployment, and usage links. These relationships support detailed dependency views accessible in ServiceNow, helping customers understand the interconnections of AI assets within their cloud environment.

Note that some relationships, such as "Deployed as" and "Used by" between AI Functions, Digital Assets, and AI Model Deployments, are stored in the Asset-CI Relationship table but not visualized on the Dependency Views map.

## Practical Benefits for ServiceNow Customers

* Automated and detailed discovery of Microsoft Foundry AI services within Azure environments, improving CMDB accuracy and completeness.
* Visibility into AI assistants, models, prompts, and related projects to support AI asset lifecycle management and governance.
* Integration with Service Mapping and AI Control Tower for enhanced service instance inclusion and AI asset monitoring.
* Support for Azure-specific features like Availability Zones and GovCloud, ensuring compliance with diverse cloud environments.
* Improved query performance and operational efficiency through optimized data population techniques.  
AI Agent Topology Mapping discovers Microsoft Foundry (classic) services, assistants, and models during horizontal discovery.

## Request new or enhanced Patterns on the ServiceNow® Store {#microsoft-foundry-classic-pattern__id_ztn_lkb_5yb}

Visit the [ServiceNow Store](https://store.servicenow.com/sn_appstore_store.do#!/store/application/06a71b1367e4130051c9027e2685ef1e/1.6.0?referer=/store/search?listingtype=allintegrations%253Bancillary_app%253Bcertified_apps%253Bcontent%253Bindustry_solution%253Boem%253Butility%253Btemplate&q=Patterns&sl=sh) to view all the available updates and for information about submitting requests to the store. For cumulative release notes information for all released apps, see the [ServiceNow Store version history release notes](https://www.servicenow.com/docs/r/store-release-notes/sn-store-release-notes.html).{#microsoft-foundry-classic-pattern__p_d21_nfg_h1c}

## Microsoft Foundry data model {#microsoft-foundry-classic-pattern__id_rld_sjc_43c}

The following diagram illustrates the tables and relationships that the AI Agent Topology Mapping application creates when discovering Microsoft Foundry resources.  
Figure 1. Tables and relationships populated during Microsoft Foundry discovery

## Discovery requirements {#microsoft-foundry-classic-pattern__section_prerequisites}

Verify the REST API permissions
:   Download the [Cloud Discovery patterns spreadsheet](https://downloads.docs.servicenow.com/resource/enus/api/servicenow-discovery-patterns-api-details.xlsx) so you can grant user permissions required for running the Discovery patterns. In addition to permissions, the spreadsheet also includes useful information such as pattern names, types, CI Classes, and links to vendor documentation. New patterns are available quarterly, so check periodically to be sure you have the latest version of the spreadsheet.{#microsoft-foundry-classic-pattern__cloud-discovery-api-ph-short-prereq}

Verify that the applications are up to date
:   Discovering these resources may require updating to the latest version of the following applications from the ServiceNow Store:

    * AI Agent Topology Mapping
    * Discovery and Service Mapping Patterns
    * Visibility Content
    * CMDB CI Class Models
    * Data Foundation Model (at least version 1.13.2)
    {#microsoft-foundry-classic-pattern__ul_dlg_343_23c}

Activate the cloud-related CI relationships
:   To include discovered components into service instances, enable CI relationships used in tag-based discovery by Service Mapping. These CI relationships are available from the 1.0.68 release on the ServiceNow Store. For operational steps, see [Tag-based discovery configuration](https://www.servicenow.com/docs/__DAxI4a5uhCxFO3rZLOcw "You can refine the default configuration to control which CIs Service Mapping includes in application services during the tag-based discovery process.").

Azure Availability Set
:   Wait for the Clean-Up job for Availability zone to clear availability set record schedule job to delete all the pre-populated Configuration Items (CIs) in the
    cmdb_ci_azure_availability_set table.

Azure Availability Zone

:   To run a discovery with Azure Availability Zone, register the subscription ID to the AvailabilityZonePeering feature with AZ CLI using `az feature register -n AvailabilityZonePeering
    --namespace Microsoft.Resources` to use the Check Zone Peering API. Check the status with `az feature show -n AvailabilityZonePeering --namespace Microsoft.Resources` before running
    discovery.

Set up Azure service accounts
:   Enable Cloud Discovery to access your Azure environment.
:   Discovering Azure GovCloud (US) accounts requires using a datacenter URL when setting up an Azure service account. For more information, see [Set up Azure service accounts](https://www.servicenow.com/docs/XKQpJvxWTKNL58XCkRHVxA "Create and configure cloud service accounts at ServiceNow AI Platform for the corresponding Microsoft Azure accounts.").

Create an Azure cloud discovery schedule
:   For more information, see [Create an Azure Discovery schedule in Discovery Admin Workspace](https://www.servicenow.com/docs/vEwZOELmMZR7env7iKxTSg "Use the Discovery Admin Workspace dashboard to create an Azure Discovery schedule.").

(Optional) Discover datacenters only for new subscriptions
:   Starting with Zurich Patch 2, you can discover datacenters only for new subscriptions added since the last discovery. For more information, see [Discover datacenters only for new cloud accounts](https://www.servicenow.com/docs/ny0cMnbjtY6VKnTSbeirWw "If you have multiple cloud accounts and datacenters in AWS and Azure, you can discover datacenters for new cloud accounts only, instead of refreshing the entire list.").

(Optional) Populate Service Account and Logical Datacenter fields in cloud CIs
:   Starting with Discovery and Service Mapping Patterns version 1.30.2, you can improve query performance by populating Service Account and Logical Datacenter fields directly in cloud CIs. For more information, see [Improved query performance with direct field population in CI tables](https://www.servicenow.com/docs/dikZ2lIS1bNpgxWtTOukSQ "The Populate Service Account and LDC IN CMDB scheduled job populates the Service Account and Logical Datacenter fields in cloud configuration item (CI) tables, and the Virtual Machine Object field in the Hardware [cmdb_ci_hardware] table. This direct population reduces query complexity and improves query performance.").

## Data collection {#microsoft-foundry-classic-pattern__section_rzg_fc5_l3c}

The AI Agent Topology Mapping application includes the following patterns for Microsoft Foundry discovery:

* Azure - AI Foundry Agents
* Azure - AI Service Foundry
* Azure - AI Service Foundry Project
* Azure - AI Foundry Models
{#microsoft-foundry-classic-pattern__ul_zxh_md5_l3c}

The Azure - AI Foundry Agents pattern collects AI System Digital Assets, AI Prompt Digital Assets, and Key Value information. You can view this information in the Related Links section of the CI record by
navigating to AllConfigurationAzureAzure AI Foundry Agents and selecting the relevant record.

The Azure - AI Foundry Models pattern collects AI Model Digital Assets. You can view this information in the Related Links section of the CI record by navigating to AllConfigurationAzureAzure AI Foundry Models and selecting the relevant record.

The AI Agent Topology Mapping application populates data in both CMDB and non-CMDB tables.

## Data stored in non-CMDB tables {#microsoft-foundry-classic-pattern__section_non_cmdb}

The AI Agent Topology Mapping application populates data in non-CMDB tables when running the Microsoft Foundry patterns.

If you have the AI Control Tower application, you can view the information in the AI Control Tower Workspace.  
{#microsoft-foundry-classic-pattern__table_alm_ai_system__entry__2}

| Field | Description |
|-|-|
| Display name \[display_name\] | Display name of the Microsoft Foundry assistant. |
| External record reference \[external_ref_id\] | Unique identifier of the Microsoft Foundry assistant. |
| Asset type \[model_category\] | Asset type of the assistant. Value is set to Agentic AI. |
| State \[install_status\] | State of the assistant. Value is set to Deployed. |
| Vendor \[vendor\] | Vendor of the assistant.Value is set to Azure. |
| Model \[model\] | References the AI System Component Product Model \[cmdb_ai_system_component_product_model\] table. |
| AI prompts \[ai_prompts\] | References the AI Prompt Digital Asset \[alm_ai_prompt_digital_asset\] table. |
| AI models \[ai_models\] | References the AI Model Digital Asset \[alm_ai_model_digital_asset\] table. |
| Configuration Item \[ci\] | References the AI Function \[cmdb_ci_function_ai\] table. |
[Table 1. AI System Digital Asset \[alm_ai_system_digital_asset\]]

{#microsoft-foundry-classic-pattern__table_alm_ai_system}  
{#microsoft-foundry-classic-pattern__table_cmdb_ai_system_component__entry__2}

| Field | Description |
|-|-|
| Name \[name\] | Name of the Microsoft Foundry assistant. |
| Short description \[short_description\] | Description of the Microsoft Foundry assistant. |
| Status \[status\] | Operational status of the assistant. Value is set to PREPARED. |
| Version \[version\] | Version of the Microsoft Foundry assistant. |
| Manufacturer \[manufacturer\] | Name of the company defined in the glide.appcreator.company.friendly_name system property. |
| Model categories \[cmdb_model_category\] | Model category. Value is set to Agentic AI. |
[Table 2. AI System Component Product Model \[cmdb_ai_system_component_product_model\]]

{#microsoft-foundry-classic-pattern__table_cmdb_ai_system_component}  
{#microsoft-foundry-classic-pattern__table_alm_ai_prompt__entry__2}

| Field | Description |
|-|-|
| Prompt information \[prompt_info\] | Instruction text defined for the Microsoft Foundry assistant. |
| Asset type \[model_category\] | Asset type of the prompt. Value is set to AI prompt. |
| Vendor \[vendor\] | Vendor of the prompt. Value is set to Azure. |
| Model \[model\] | References the AI Prompt Product Model \[cmdb_ai_prompt_product_model\] table. |
| Configuration Item \[ci\] | References the AI Function \[cmdb_ci_function_ai\] table. |
[Table 3. AI Prompt Digital Asset \[alm_ai_prompt_digital_asset\]]

{#microsoft-foundry-classic-pattern__table_alm_ai_prompt}  
{#microsoft-foundry-classic-pattern__table_cmdb_ai_prompt_product_model__entry__2}

| Field | Description |
|-|-|
| Name \[name\] | Name of the Microsoft Foundry assistant, used to identify the associated prompt model. |
| Manufacturer \[manufacturer\] | Name of the company defined in the glide.appcreator.company.friendly_name system property. |
| Model categories \[cmdb_model_category\] | Model category. Value is set to AI prompt. |
[Table 4. AI Prompt Product Model \[cmdb_ai_prompt_product_model\]]

{#microsoft-foundry-classic-pattern__table_cmdb_ai_prompt_product_model}  
{#microsoft-foundry-classic-pattern__table_alm_ai_model__entry__2}

| Field | Description |
|-|-|
| Display name \[display_name\] | Name of the foundation model. |
| External record reference \[external_ref_id\] | Resource identifier of the foundation model. |
| Asset type \[model_category\] | Asset type of the model. Value is set to AI model. |
| Vendor \[vendor\] | Provider of the foundation model. |
| Model \[model\] | References the AI Model Product Model \[cmdb_ai_model_product_model\] table. |
| Configuration Item \[ci\] | References the AI Model Deployment \[cmdb_ci_ai_model_deployment\] table. |
[Table 5. AI Model Digital Asset \[alm_ai_model_digital_asset\]]

{#microsoft-foundry-classic-pattern__table_alm_ai_model}  
{#microsoft-foundry-classic-pattern__table_cmdb_ai_model_product_model__entry__2}

| Field | Description |
|-|-|
| Name \[name\] | Name of the foundation model. |
| Model number \[model_number\] | Model ID assigned by Microsoft Foundry. |
| Version \[version\] | Version of the foundation model. |
| Description \[description\] | Description of the foundation model. |
| Manufacturer \[manufacturer\] | Provider of the foundation model. |
| Model categories \[cmdb_model_category\] | Model category. Value is set to AI model. |
[Table 6. AI Model Product Model \[cmdb_ai_model_product_model\]]

{#microsoft-foundry-classic-pattern__table_cmdb_ai_model_product_model}

## Data stored in CMDB tables {#microsoft-foundry-classic-pattern__section_cmdb}

The AI Agent Topology Mapping application populates data in the CMDB when running the Microsoft Foundry patterns.  
{#microsoft-foundry-classic-pattern__table_ai_function__entry__2}

| Field | Description |
|-|-|
| Name \[name\] | Name of the Microsoft Foundry assistant. |
| Object ID \[object_id\] | Unique identifier of the Microsoft Foundry assistant. |
| Description \[short_description\] | Description of the Microsoft Foundry assistant. |
| Manufacturer \[manufacturer\] | Cloud provider of the resource. Value is set to Azure. |
| Operational status \[operational_status\] | Operational status of the resource. Default value is Operational. |
| Install Status \[install_status\] | Install status of the resource. Default value is Installed. |
| Comments \[comments\] | Resource type identifier. Value is set to Azure::Foundry::Agent. |
[Table 7. AI Function \[cmdb_ci_function_ai\]]

{#microsoft-foundry-classic-pattern__table_ai_function}  
{#microsoft-foundry-classic-pattern__table_ai_foundry__entry__2}

| Field | Description |
|-|-|
| Name \[name\] | Name of the Microsoft Foundry service. |
| Object ID \[object_id\] | Unique identifier of the Microsoft Foundry service. |
| Description \[short_description\] | Description of the resource. Value is set to Azure Foundry Service. |
| Operational status \[operational_status\] | Operational status of the resource. Default value is Operational. |
| Install Status \[install_status\] | Install status of the resource. Default value is Installed. |
| Azure Service Type \[azure_service_type\] | Azure resource type. For example: microsoft.cognitiveservices/accounts. |
| Azure Service Kind \[azure_service_kind\] | Resource kind of the Microsoft Foundry service. For example: AIServices. |
[Table 8. Azure AI Foundry \[cmdb_ci_azure_ai_foundry\]]

{#microsoft-foundry-classic-pattern__table_ai_foundry}  
{#microsoft-foundry-classic-pattern__table_ai_project__entry__2}

| Field | Description |
|-|-|
| Name \[name\] | Name of the Microsoft Foundry project. |
| Object ID \[object_id\] | Unique identifier of the Microsoft Foundry project. |
| Comments \[comments\] | Azure region where the Microsoft Foundry project is deployed. |
| Operational status \[operational_status\] | Operational status of the resource. Default value is Operational. |
| Install Status \[install_status\] | Install status of the resource. Default value is Installed. |
| Model number \[model_number\] | Internal identifier of the Microsoft Foundry project. |
| Azure Project Kind \[azure_project_kind\] | Resource kind of the Microsoft Foundry project. For example: AIServices. |
[Table 9. Azure AI Project \[cmdb_ci_azure_ai_project\]]

{#microsoft-foundry-classic-pattern__table_ai_project}  
{#microsoft-foundry-classic-pattern__table_ai_model_deployment__entry__2}

| Field | Description |
|-|-|
| Name \[name\] | Name of the AI model available in Microsoft Foundry. |
| Object ID \[object_id\] | Resource identifier of the AI model. |
| Description \[short_description\] | Description of the AI model. |
| Model number \[model_number\] | Model name, used as an identifier. |
| Manufacturer \[manufacturer\] | Provider of the AI model. For example: Microsoft, Anthropic, or OpenAI. |
| Attributes \[attributes\] | Lifecycle status of the model as reported by the API. For example: Stable or Deprecated. |
| Comments \[comments\] | Azure resource type identifier. Value is set to Microsoft.CognitiveServices/locations/models. |
| Operational status \[operational_status\] | Operational status of the resource. Default value is Operational. |
| Install Status \[install_status\] | Install status of the resource. Default value is Installed. |
[Table 10. AI Model Deployment \[cmdb_ci_ai_model_deployment\]]

{#microsoft-foundry-classic-pattern__table_ai_model_deployment}

## Dependency Views map {#microsoft-foundry-classic-pattern__section_aq4_2pv_n3c}

On the Dependency Views map, you can view discovered Microsoft Foundry resources and the relationships between them.  
Note:  
The following relationships are stored in the Asset-CI Relationship \[cmdb_rel_asset_ci\] table and aren't represented in the Dependency View map:

* The Deployed as::Deployment of relationship between AI Function \[cmdb_ci_function_ai\] and AI System Digital Asset \[alm_ai_system_digital_asset\].
* The Used by::Uses relationship between AI Model Deployment \[cmdb_ci_ai_model_deployment\] and AI Model Digital Asset \[alm_ai_model_digital_asset\].
{#microsoft-foundry-classic-pattern__ul_asset_ci_rels}  
Figure 2. Microsoft Foundry dependency view

## CI relationships and references {#microsoft-foundry-classic-pattern__section_relationships}

The Microsoft Foundry patterns create the following relationships and references to support Microsoft Foundry (classic) discovery. References link to records in other tables and don't appear in the CI Relationship \[cmdb_rel_ci\] table.  
{#microsoft-foundry-classic-pattern__table_relationships__entry__3}

| CI/Table | Relationship | CI/Table |
|-|-|-|
| AI Function \[cmdb_ci_function_ai\] | Hosted on::Hosts | Azure Datacenter \[cmdb_ci_azure_datacenter\] |
| Azure AI Project \[cmdb_ci_azure_ai_project\] | Contains::Contained by | AI Function \[cmdb_ci_function_ai\] |
| Resource Group \[cmdb_ci_resource_group\] | Contains::Contained by | AI Function \[cmdb_ci_function_ai\] |
| AI Function \[cmdb_ci_function_ai\] | Deployed as::Deployment of | AI System Digital Asset \[alm_ai_system_digital_asset\] |
| Azure AI Foundry \[cmdb_ci_azure_ai_foundry\] | Hosted on::Hosts | Azure Datacenter \[cmdb_ci_azure_datacenter\] |
| Resource Group \[cmdb_ci_resource_group\] | Contains::Contained by | Azure AI Foundry \[cmdb_ci_azure_ai_foundry\] |
| Azure AI Foundry \[cmdb_ci_azure_ai_foundry\] | Contains::Contained by | Azure AI Project \[cmdb_ci_azure_ai_project\] |
| Azure AI Project \[cmdb_ci_azure_ai_project\] | Hosted on::Hosts | Azure Datacenter \[cmdb_ci_azure_datacenter\] |
| Resource Group \[cmdb_ci_resource_group\] | Contains::Contained by | Azure AI Project \[cmdb_ci_azure_ai_project\] |
| AI Function \[cmdb_ci_function_ai\] | Depends on::Used by | AI Model Deployment \[cmdb_ci_ai_model_deployment\] |
| AI Model Deployment \[cmdb_ci_ai_model_deployment\] | Hosted on::Hosts | Azure Datacenter \[cmdb_ci_azure_datacenter\] |
| AI Model Deployment \[cmdb_ci_ai_model_deployment\] | Used by::Uses | AI Model Digital Asset \[alm_ai_model_digital_asset\] |
[Table 11. CI relationships]

{#microsoft-foundry-classic-pattern__table_relationships}  
{#microsoft-foundry-classic-pattern__table_references__entry__3}

| CI/Table | Field | Referenced CI/Table |
|-|-|-|
| AI System Digital Asset \[alm_ai_system_digital_asset\] | Model \[model\] | AI System Component Product Model \[cmdb_ai_system_component_product_model\] |
| AI System Digital Asset \[alm_ai_system_digital_asset\] | AI prompts \[ai_prompts\] | AI Prompt Digital Asset \[alm_ai_prompt_digital_asset\] |
| AI System Digital Asset \[alm_ai_system_digital_asset\] | AI models \[ai_models\] | AI Model Digital Asset \[alm_ai_model_digital_asset\] |
| AI System Digital Asset \[alm_ai_system_digital_asset\] | Configuration Item \[ci\] | AI Function \[cmdb_ci_function_ai\] |
| AI Prompt Digital Asset \[alm_ai_prompt_digital_asset\] | Model \[model\] | AI Prompt Product Model \[cmdb_ai_prompt_product_model\] |
| AI Prompt Digital Asset \[alm_ai_prompt_digital_asset\] | Configuration Item \[ci\] | AI Function \[cmdb_ci_function_ai\] |
| AI Model Digital Asset \[alm_ai_model_digital_asset\] | Model \[model\] | AI Model Product Model \[cmdb_ai_model_product_model\] |
| AI Model Digital Asset \[alm_ai_model_digital_asset\] | Configuration Item \[ci\] | AI Model Deployment \[cmdb_ci_ai_model_deployment\] |
| Key Value \[cmdb_key_value\] | Configuration item \[configuration_item\] | Azure AI Foundry \[cmdb_ci_azure_ai_foundry\] |
| Key Value \[cmdb_key_value\] | Configuration item \[configuration_item\] | Azure AI Project \[cmdb_ci_azure_ai_project\] |
[Table 12. CI references]

{#microsoft-foundry-classic-pattern__table_references}

## Azure tag discovery {#microsoft-foundry-classic-pattern__section_tag_discovery}

The Azure - AI Service Foundry pattern collects tags and populates them in the Key Value \[cmdb_key_value\] table.  
{#microsoft-foundry-classic-pattern__table_key_value_foundry__entry__2}

| Field | Description |
|-|-|
| Key \[key\] | Tag name. |
| Value \[value\] | Tag value. |
| Configuration item \[configuration_item\] | References the Azure AI Foundry \[cmdb_ci_azure_ai_foundry\] table. |
[Table 13. Key Value \[cmdb_key_value\]]

{#microsoft-foundry-classic-pattern__table_key_value_foundry}

The Azure - AI Service Foundry Project pattern collects tags and populates them in the Key Value \[cmdb_key_value\] table.  
{#microsoft-foundry-classic-pattern__table_key_value_project__entry__2}

| Field | Description |
|-|-|
| Key \[key\] | Tag name. |
| Value \[value\] | Tag value. |
| Configuration item \[configuration_item\] | References the Azure AI Project \[cmdb_ci_azure_ai_project\] table. |
[Table 14. Key Value \[cmdb_key_value\]]

{#microsoft-foundry-classic-pattern__table_key_value_project}
**Related reference**   

* [Microsoft Azure Cloud discovery using patterns](https://www.servicenow.com/docs/e2521~KHAw8EO7j1nC9QMA "Discovery uses multiple patterns to discover components of the Microsoft Azure Cloud deployment during horizontal discovery. Discovering some of these resources might require updating to the latest version of the Discovery and Service Mapping Patterns application from the ServiceNow Store.")

*[\>]: and then