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articles/defender-for-cloud/gain-end-user-context-ai.md

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@@ -24,9 +24,9 @@ By adding parameters to your Azure OpenAI API calls, you enable your Azure AI to
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To receive AI security alerts with more context, you can add any or all of the following sample `SecurityContext` parameters to your [Azure OpenAI API](../ai-services/openai/reference.md) calls.
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All of the fields in the `SecurityContext` are optional, but we recommended, at a minimum, passing the `EndUserId` and `SourceIP` fields. The `EndUserId` and `SourceIP` fields provide Security Operations Center (SOC) analysts the ability to investigate security incidents that involve AI resources and generative AI applications. For examples, see the [SecurityContext schema](#securitycontext-schema).
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All of the fields in the `SecurityContext` are optional. We recommend passing the `EndUserId` and `SourceIP` fields at a minimum. The `EndUserId` and `SourceIP` fields provide Security Operations Center (SOC) analysts the ability to investigate security incidents that involve AI resources and generative AI applications. For examples, see the [SecurityContext schema](#securitycontext-schema).
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If a field’s name is misspelled, the Azure OpenAI API call will still succeed. No validation of the `SecurityContext` schema is required to pass through the Azure OpenAI user field. Application developers should ensure that a valid JSON is passed to the `user` field in every request made by the application to Azure OpenAI.
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If a field’s name is misspelled, the Azure OpenAI API call will still succeed. The `SecurityContext` schema doesn't require validation to pass through the Azure OpenAI user field. Application developers should ensure that a valid JSON is passed to the `user` field in every request made by the application to Azure OpenAI.
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## SecurityContext schema
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