LLM deployment

Last updated Oct 17, 2026 Preview Inventory

AI summary

Rencore Governance monitors LLM deployments from Azure AI Foundry, which make large language models and flows available for production use. The system tracks 32 properties across nine categories, including identity, location, security, and AI service details. You set scanning intervals and configure whether data is removed during incremental scans.

Part of the Microsoft Foundry inventory.

Scan settings

Default scanning interval	Allowed scanning intervals	Data removal during incremental scan
Weekly	Daily, Weekly, Bi-Weekly, Monthly, Never, Initial	Yes

Properties

32 properties in 9 groups. Open a group to see its properties.

Name and identity 4

Property	Type	Description	Automation placeholder
Display Name	String		`{{LLMDeployment.DisplayName}}`
Id	String	The ID of the service.	`{{LLMDeployment.Id}}`
Resource Group Name	String	Name of parent Resource Group.	`{{LLMDeployment.ResourceGroupName}}`
Subscription Name	String	Name of parent Subscription.	`{{LLMDeployment.SubscriptionName}}`

Organization and location 3

Property	Type	Description	Automation placeholder
CurrentCapacity	Int32	The current capacity.	`{{LLMDeployment.CurrentCapacity}}`
Location	String	The location of the hub.	`{{LLMDeployment.Location}}`
Sku Capacity	Int32	If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.	`{{LLMDeployment.SkuCapacity}}`

Activity and usage 4

Property	Type	Description	Automation placeholder
Capabilities ChatCompletion	String		`{{LLMDeployment.CapabilitiesChatCompletion}}`
Modified	DateTime	The timestamp of resource creation	`{{LLMDeployment.LastModifiedAt}}`
Last scan update	DateTime	Shows when this object was last updated in a scan. If an object is found during a scan but no property has been changed this date will not change.	`{{LLMDeployment.LastModifiedTime}}`
Provisioning State	String	Gets the status of the resource at the time the operation was called.	`{{LLMDeployment.ProvisioningState}}`

AI and agents 5

Property	Type	Description	Automation placeholder
AI Service	AI service	Id of parent AI Service.	`{{LLMDeployment.AIService}}`
AI Service Name	String	Name of parent AI Service.	`{{LLMDeployment.AIServiceName}}`
Model Format	String	Deployment model format.	`{{LLMDeployment.ModelFormat}}`
Model Name	String	Deployment model name.	`{{LLMDeployment.ModelName}}`
Model Version	String	Optional. Deployment model version. If version is not specified, a default version will be assigned.	`{{LLMDeployment.ModelVersion}}`

Dates and scanning 2

Property	Type	Description	Automation placeholder
Created	DateTime	The timestamp of resource creation	`{{LLMDeployment.CreatedAt}}`
Initially Scanned	DateTime	Shows when this object was initially found in a scan.	`{{LLMDeployment.CreatedTime}}`

Property	Type	Description	Automation placeholder
Created By	User	The user that created the resource.	`{{LLMDeployment.CreatedBy}}`
Created By Name	String	The user that created the resource.	`{{LLMDeployment.CreatedByName}}`
Modified By	User	The user that created the resource.	`{{LLMDeployment.LastModifiedBy}}`
Modified By Name	String	The user that created the resource.	`{{LLMDeployment.LastModifiedByName}}`

Security and compliance 4

Property	Type	Description	Automation placeholder
Dynamic Throttling Enabled	Boolean	If the dynamic throttling is enabled.	`{{LLMDeployment.DynamicThrottlingEnabled}}`
Risk Score	Int32	Stores risk score	`{{LLMDeployment.RiskScore}}`
Risk Score Update	DateTime	Stores risk score update	`{{LLMDeployment.RiskScoreLastUpdate}}`
Risk Score Value	String	Stores risk score value like Low_Low	`{{LLMDeployment.RiskScoreValue}}`

Storage, licences and cost 2

Property	Type	Description	Automation placeholder
Capabilities Max Total Token	String		`{{LLMDeployment.CapabilitiesMaxTotalToken}}`
SkuName	String	The name of the SKU. Ex - P3. It is typically a letter+number code	`{{LLMDeployment.SkuName}}`

Other properties 4

Property	Type	Description	Automation placeholder
Capabilities Completion	String		`{{LLMDeployment.CapabilitiesCompletion}}`
Resource Group	Resource Group	Id of parent Resource Group.	`{{LLMDeployment.ResourceGroup}}`
Subscription	Subscription	Id of parent Subscription.	`{{LLMDeployment.Subscription}}`
Tags	String	The tags attached to the hub.	`{{LLMDeployment.Tags}}`

Relations

Relation	Connector	Description
Resource Group	Azure	Azure resource groups inside subscription
Subscription	Azure	Azure subscriptions
AI service	Microsoft Foundry	Cloud-based artificial intelligence (AI) services that help developers build cognitive intelligence into applications
User	Microsoft 365	All users registered in your tenant (internal, external)
User	Microsoft 365	All users registered in your tenant (internal, external)

Segments

This object does currently not have any segments.

Actions

This object does currently not have any actions.

Frequently asked questions

What is the LLM deployment object in Rencore Governance?

Azure AI Foundry supports deploying large language models (LLMs), flows, and web apps. Deploying an LLM or flow makes it available for use in a website, an application, or other production environments. LLM deployment is an object type in the Microsoft Foundry inventory of Rencore Governance.

Which properties does Rencore Governance collect for LLM deployment?

Rencore Governance collects 32 properties for LLM deployment, such as AI Service, AI Service Name, Capabilities ChatCompletion and 29 more.

How often is LLM deployment scanned?

By default weekly. You can change the scan interval of LLM deployment objects under Configure objects (daily, weekly, bi-weekly, monthly, never or initial (collected once)). The interval is a target, not a guarantee: a scan can run later than planned.

Which module includes the Microsoft Foundry connector?

The Microsoft Foundry connector is part of the AI & Agents module of Rencore Governance, an add-on module on the Premium and Enterprise Plans. The connector is in preview.

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