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Policy: Azure > AI Foundry > Deployment > RAI Policy

Determine the action to take when an Azure AI Foundry deployment's RAI (Responsible AI) policy does not match the desired value.

The RAI Policy control compares the deployment's RAI policy name against the canonical value from RAI Policy > Name. If the current value differs, the control raises an alarm and (on Enforce: ...) updates the deployment to use the desired RAI policy.

Targets

This policy targets the following resource types:

  • Azure > AI Foundry > Deployment

Related Policies

  • Name

Controls

Setting this policy configures this control:

  • Azure > AI Foundry > Deployment > RAI Policy

Policy Specification

Schema Type
string
Default
Skip
Valid Values [YAML]
  • Skip
    
  • Check: per `RAI Policy > Name`
    
  • Enforce: per `RAI Policy > Name`
    
Examples [YAML]
  • Check: per `RAI Policy > Name`
    

Category

  • Security

In Your Workspace

  • Policy Settings by Type report

Developers

    Category URI
    • tmod:@turbot/turbot#/control/categories/security
  • Policy Type URI
    • tmod:@turbot/azure-aifoundry#/policy/types/deploymentRaiPolicy
  • GraphQL
    • query policyType(id: "tmod:@turbot/azure-aifoundry#/policy/types/deploymentRaiPolicy") { … }
    • query policySettings(filter: "policyTypeId:'tmod:@turbot/azure-aifoundry#/policy/types/deploymentRaiPolicy'") { … }
    • query policyValues(filter: "policyTypeId:'tmod:@turbot/azure-aifoundry#/policy/types/deploymentRaiPolicy'") { … }
  • CLI
    • Get Policy Type
    • turbot graphql policy-type --id "tmod:@turbot/azure-aifoundry#/policy/types/deploymentRaiPolicy"
    • Get Policy Settings
    • turbot graphql policy-settings --filter "policyTypeId:tmod:@turbot/azure-aifoundry#/policy/types/deploymentRaiPolicy"
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