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articles/ai-services/openai/concepts/content-filter.md

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ms.author: pafarley
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ms.service: azure-ai-openai
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ms.topic: conceptual
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ms.date: 02/20/2025
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ms.date: 02/27/2025
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ms.custom: template-concept, devx-track-python
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manager: nitinme
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---
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In addition to detection on last user content, Azure OpenAI also supports the detection of specific risks inside context documents via Prompt Shields – Indirect Prompt Attack Detection. You should identify parts of the input that are a document (for example, retrieved website, email, etc.) with the following document delimiter.
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```
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<documents>
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*insert your document content here*
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</documents>
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\"\"\" <documents> *insert your document content here* </documents> \"\"\"
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```
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When you do so, the following options are available for detection on tagged documents:
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- Apply for modified content filters via [this form](https://ncv.microsoft.com/uEfCgnITdR).
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- Azure OpenAI content filtering is powered by [Azure AI Content Safety](https://azure.microsoft.com/products/cognitive-services/ai-content-safety).
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- Learn more about understanding and mitigating risks associated with your application: [Overview of Responsible AI practices for Azure OpenAI models](/legal/cognitive-services/openai/overview?context=/azure/ai-services/openai/context/context).
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- Learn more about how data is processed in connection with content filtering and abuse monitoring: [Data, privacy, and security for Azure OpenAI Service](/legal/cognitive-services/openai/data-privacy?context=/azure/ai-services/openai/context/context#preventing-abuse-and-harmful-content-generation).
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- Learn more about how data is processed in connection with content filtering and abuse monitoring: [Data, privacy, and security for Azure OpenAI Service](/legal/cognitive-services/openai/data-privacy?context=/azure/ai-services/openai/context/context#preventing-abuse-and-harmful-content-generation).

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