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articles/defender-for-cloud/ai-onboarding.md

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title: Onboard threat protection for AI workloads
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description: Learn how to enable threat protection for AI workloads on your Azure subscription for Microsoft Defender for Cloud.
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ms.topic: install-set-up-deploy
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ms.date: 05/02/2024
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ms.date: 05/05/2024
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---
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# Onboard threat protection for AI workloads
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Threat protection for AI workloads in Microsoft Defender for Cloud provides AI threat protection capabilities that can help you identify and respond in real time to security issues in your generative AI applications.
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Threat protection for AI workloads in Microsoft Defender for Cloud assists you in the identification and response process in real time, for security issues that might exist in your generative AI applications.
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> [!IMPORTANT]
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> Threat protection for AI workloads is currently in preview.
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## Enroll in the limited preview
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To get started, you must [sign up](https://aka.ms/D4AI/PublicPreviewAccess) for the plan and be accepted.
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To get started, you must [sign up](https://aka.ms/D4AI/PublicPreviewAccess) and be accepted to the limited preview.
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Once accepted, you can onboard threat protection for AI workloads in Defender for Cloud to provide threat protection for AI workloads in your Azure environment.
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Once accepted, you can onboard threat protection for AI workloads in Defender for Cloud to provide threat protection for AI workloads in your Azure environment.
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1. Fill out the [registration form](https://aka.ms/D4AI/PublicPreviewAccess).
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1. Wait to receive an email that confirms your acceptance or rejection from the preview program.
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1. Wait to receive an email that confirms your acceptance or rejection from the limited preview.
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If you're accepted into the preview program, you can enable threat protection for AI workloads to your Azure subscription.
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If you're accepted into the limited preview, you can enable threat protection for AI workloads on your Azure subscription.
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## Enable threat protection for AI workloads
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You can enable threat protection for AI workloads on an Azure subscription.
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Threat protection for AI workloads on an Azure subscription provides insights to threats that might affect your generative AI applications.
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1. Sign in to the [Azure portal](https://portal.azure.com).
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articles/defender-for-cloud/ai-security-posture.md

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title: AI security posture management
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description: Learn about AI security posture management in Microsoft Defender for Cloud and how it protects resources from AI threats.
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ms.date: 05/02/2024
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ms.date: 05/05/2024
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ms.topic: concept-article
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ms.author: elkrieger
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author: Elazark

articles/defender-for-cloud/ai-threat-protection.md

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title: Overview - AI threat protection
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description: Learn about AI threat protection in Microsoft Defender for Cloud and how it protects your resources from AI threats.
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ms.date: 05/05/2024
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ms.topic: overview
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author: Elazark
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# Overview - AI threat protection
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Threat protection for AI workloads in Microsoft Defender for Cloud provides AI threat protection capabilities that can help you identify and respond in real time to security issues in your generative AI applications.
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Threat protection for AI workloads in Microsoft Defender for Cloud provides assists you in the identification and response process in real time, for security issues that might exist in your generative AI applications.
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> [!IMPORTANT]
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> Threat protection for AI workloads is currently in preview.
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> See the [Supplemental Terms of Use for Microsoft Azure Previews](https://azure.microsoft.com/support/legal/preview-supplemental-terms/) for legal terms that apply to Azure features that are in beta, preview, or otherwise not yet released into general availability.
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Defender for Cloud's AI threat protection integrates with [Azure AI Content Safety Prompt Shields](../ai-services/content-safety/concepts/jailbreak-detection.md) and Microsoft's threat intelligence signals to deliver contextual and actionable security alerts associated with a range of threats such as sensitive data leakage, data poisoning, jailbreak and credentials theft.
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Defender for Cloud's AI threat protection integrates with [Azure AI Content Safety Prompt Shields](../ai-services/content-safety/concepts/jailbreak-detection.md) and Microsoft's threat intelligence signals to deliver contextual and actionable security alerts associated with a range of threats such as sensitive data leakage, data poisoning, jailbreak, and credentials theft.
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:::image type="content" source="media/ai-threat-protection/threat-protection-ai.png" alt-text="Conceptual image that shows how enabling, detection and response works for threat protection." lightbox="media/ai-threat-protection/threat-protection-ai.png":::
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:::image type="content" source="media/ai-threat-protection/threat-protection-ai.png" alt-text="Conceptual image that shows how enabling, detection, and response works for threat protection." lightbox="media/ai-threat-protection/threat-protection-ai.png":::
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> [!NOTE]
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> Threat protection for AI workloads relies on [Azure Open AI content filtering](../ai-services/openai/concepts/content-filter.md) for prompt-base triggered alert. If you opt out of prompt-based trigger alerts and removed that capability, it can affect Defender for Cloud's ability to monitor and detect such attacks.
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## Defender XDR integration
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Defender for Cloud AI workloads security alerts are integrated into [Defender XDR](concept-integration-365.md), enabling security teams to centralize alerts on AI workloads within the Defender XDR portal.
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Defenders for Cloud's threat protection for AI workloads security alerts are integrated into [Defender XDR](concept-integration-365.md), enabling security teams to centralize alerts on AI workloads within the Defender XDR portal.
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Security teams can correlate AI workloads alerts and incidents within the Defender XDR portal, and gain an understanding of the full scope of an attack, including malicious activities associated with their generative AI applications from the XDR dashboard.
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articles/defender-for-cloud/explore-ai-risk.md

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title: Explore risks to pre-deployment generative AI artifacts
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description: Learn how to discover potential security risks for your generative AI applications in Microsoft Defender for Cloud.
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ms.topic: how-to
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# customer intent: As a user, I want to learn how to identify potential security risks for my generative AI applications in Microsoft Defender for Cloud so that I can enhance their security.
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articles/defender-for-cloud/identify-ai-workload-model.md

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title: Discover generative AI workloads
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description: Learn how to use the cloud security explorer to determine which AI workloads and models are running in your environment.
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ms.topic: how-to
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# customer intent: As a user, I want to learn how to identify AI workloads and models in my environment so that I can assess their security posture.
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# Discover generative AI workloads
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The Defender Cloud Security Posture Management (CSPM) plan in Microsoft Defender for Cloud provides a comprehensive view of your organization's AI bill of materials (AI BOM). Use instructions in this article to use the cloud security explorer to identify the AI workloads and models that are running in your environment and assess their security posture.
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The Defender Cloud Security Posture Management (CSPM) plan in Microsoft Defender for Cloud provides a comprehensive view of your organization's AI Bill of Materials (AI BOM). The instructions in this article explain how to use the cloud security explorer to identify the AI workloads and models that are running in your environment. With the results, you can assess the security posture of the scanned AI workloads.
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## Prerequisites
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- Enable [Defender Cloud Security Posture Management (CSPM)](tutorial-enable-cspm-plan.md) on your Azure subscription.
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- Have at least one environment with AI supported workloads (Azure Open AI, AWS account).
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- Have at least one environment with AI supported workloads (Azure OpenAI, AWS account).
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## Discover AI workloads and models in use
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