Rayne's fixes

Author: ElazarK

articles/defender-for-cloud/TOC.yml

@@ -324,7 +324,7 @@
         - name: Discover generative AI workloads
           displayName: AI, workloads, models, applications, apps, AI BOM
           href: identify-ai-workload-model.md
-        - name: Explore risks to pre-deployed generative AI artifacts
+        - name: Explore risks to generative AI artifacts before deployment
           displayName: AI, risks, generative, applications, apps
           href: explore-ai-risk.md
     - name: Data-aware security posture

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

@@ -7,7 +7,7 @@ ms.date: 05/02/2024
 
 # Onboard Defender for AI Workloads
 
-To get started, you must [sign up](https://aka.ms/D4AI/PublicPreviewAccess) for the plan and be accepted. Once accepted, you can onboard the Defender for AI Workloads plan in Defender for Cloud to provide threat protection for AI workloads in your Azure environment. 
+The Defender for AI Workloads plan 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.
 
 > [!IMPORTANT]
 > The Defender for AI Workloads plan is currently in preview.
@@ -21,11 +21,13 @@ To get started, you must [sign up](https://aka.ms/D4AI/PublicPreviewAccess) for
 
 - You must [enable Defender for Cloud](get-started.md#enable-defender-for-cloud-on-your-azure-subscription) on your Azure subscription.
 
-- Defender for AI Workloads relies on [Azure OpenAI 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.
+- We recommend that you don't opt out of prompt based prompt-base triggered alerts for [Azure OpenAI content filtering](../ai-services/openai/concepts/content-filter.md). If you opt out of prompt-based trigger alerts and remove that capability, it can affect Defender for Cloud's ability to monitor and detect such attacks.
 
-## Enroll in the limited public preview
+## Enroll in the limited preview
 
-Before you can start to use the Defender for AI Workloads plan, you must enroll in the limited public preview program.
+To get started, you must [sign up](https://aka.ms/D4AI/PublicPreviewAccess) for the plan and be accepted. 
+
+Once accepted, you can onboard the Defender for AI Workloads plan in Defender for Cloud to provide threat protection for AI workloads in your Azure environment.
 
 1. Fill out the [registration form](https://aka.ms/D4AI/PublicPreviewAccess).
 
@@ -49,10 +51,6 @@ You can enable the Defender for AI Workloads plan on an Azure subscription.
 
     :::image type="content" source="media/ai-onboarding/enable-ai-workloads-plan.png" alt-text="Screenshot that shows you how to toggle the Defender for AI Workloads plan to on." lightbox="media/ai-onboarding/enable-ai-workloads-plan.png":::
 
-### Remediate alerts
-
-After onboarding the Defender for AI Workloads plan, you can [manage and remediate the security alerts](managing-and-responding-alerts.yml) that are generated for your AI workloads.
-
 ## Next step
 
 > [!div class="nextstepaction"]

articles/defender-for-cloud/ai-security-posture.md

@@ -10,15 +10,15 @@ author: Elazark
 
 # AI security posture management
 
-Microsoft Defender for Cloud provides AI security posture management capabilities that secure enterprise-built, multi, or hybrid cloud (currently Azure and AWS) generative AI applications, throughout the entire application lifecycle. Defender for Cloud reduces risk to cross cloud AI workloads by:
+The Defender Cloud Security Posture Management (CSPM) plan in Microsoft Defender for Cloud provides AI security posture management capabilities that secure enterprise-built, multi, or hybrid cloud (currently Azure and AWS) generative AI applications, throughout the entire application lifecycle. Defender for Cloud reduces risk to cross cloud AI workloads by:
 
-- Discover generative AI Bill of Materials (AI BOM), which includes application components, data, and AI artifacts from code to cloud.
+- Discovering generative AI Bill of Materials (AI BOM), which includes application components, data, and AI artifacts from code to cloud.
 - Strengthening generative AI application security posture with built-in recommendations and by exploring and remediating security risks.
 - Using the attack path analysis to identify and remediate risks.
 
 :::image type="content" source="media/ai-security-posture/ai-lifecycle.png" alt-text="An image of the development lifecycle that is covered by Defender for Cloud's AI security posture management.":::
 
-## Discover generative AI apps within your environment
+## Discovering generative AI apps
 
 Defender for Cloud discovers AI workloads and identifies details of your organization's AI BOM. This visibility allows you to identify and address vulnerabilities and protect generative AI applications from potential threats.
 
@@ -36,7 +36,7 @@ With these features, Defender for Cloud provides full visibility of AI workloads
 
 Defender CSPM provides contextual insights into an organization's AI security posture. You can reduce risks within your AI workloads using security recommendations and attack path analysis.
 
-### Explore risks using recommendations
+### Exploring risks using recommendations
 
 Defender for Cloud assesses AI workloads and issues recommendations around identity, data security, and internet exposure to identify and prioritize critical security issues in AI workloads.
 
@@ -55,7 +55,7 @@ Current IaC AI security checks include:
 - Use Managed Identity for Azure AI Service Accounts
 - Use identity-based authentication for Azure AI Service Accounts
 
-### Explore risks with attack path analysis
+### Exploring risks with attack path analysis
 
 Attack paths analysis detects and mitigates risks to AI workloads, particularly during grounding (linking AI models to specific data) and fine-tuning (adjusting a pretrained model on a specific dataset to improve its performance on a related task) stages, where data might be exposed. 
 

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

@@ -33,8 +33,6 @@ Security teams can correlate AI workloads alerts and incidents within the Defend
 
 To use the Defender for AI Workloads plan, you must enroll in the limited public preview program by filling out the [registration form](https://aka.ms/D4AI/PublicPreviewAccess).
 
-After you fill out the registration form and are accepted into the preview program, you can [onboard your Azure subscription to the preview program](ai-onboarding.md#enable-the-defender-for-ai-workloads-plan).
-
 ## Related content
 
-- [Onboard Defender for AI Workloads (Preview)](ai-onboarding.md)
+After you're accepted into the preview program, you can [onboard Defender for AI Workloads (Preview)](ai-onboarding.md).

articles/defender-for-cloud/explore-ai-risk.md

@@ -1,19 +1,21 @@
 ---
-title: Explore risks to pre-deployed generative AI artifacts
+title: Explore risks to generative AI artifacts before deployment
 description: Learn how to discover potential security risks for your generative AI applications in Microsoft Defender for Cloud.
 ms.topic: how-to
-ms.date: 04/18/2024
+ms.date: 05/02/2024
 # 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.
 ---
 
-# Explore risks to pre-deployed generative AI artifacts
+# Explore risks to generative AI artifacts before deployment
 
-The Defender CSPM plan in Microsoft Defender for Cloud helps you to improve the security posture of generative AI apps, by identifying vulnerable dependencies in libraries. This article explains how to explore, identify, and remediate security risks for those apps.
+The Defender CSPM plan in Microsoft Defender for Cloud helps you to improve the security posture of generative AI apps, by identifying vulnerabilities in AI artifacts such as container images and code repositories. This article explains how to explore, identify, and remediate security risks for those apps.
 
 ## Prerequisites
 
 - Read about [AI security posture management](ai-security-posture.md).
 
+- Learn more about [investigating risks with the cloud security explorer and attack paths](concept-attack-path.md).
+
 - You need a Microsoft Azure subscription. If you don't have an Azure subscription, you can [sign up for a free subscription](https://azure.microsoft.com/pricing/free-trial/).
 
 - Enable [Defender for Cloud on your Azure subscription](connect-azure-subscription.md).

articles/defender-for-cloud/identify-ai-workload-model.md

@@ -8,12 +8,14 @@ ms.date: 05/02/2024
 
 # Discover generative AI workloads
 
-Defender for Cloud provides a comprehensive view of your organization's AI bill of materials (AI BOM). By using the cloud security explorer, you can identify the AI workloads and models that are running in your environment and assess their security posture.
+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.
 
 ## Prerequisites
 
 - Read about [AI security posture management](ai-security-posture.md).
 
+- Learn more about [investigating risks with the cloud security explorer and attack paths](concept-attack-path.md).
+
 - You need a Microsoft Azure subscription. If you don't have an Azure subscription, you can [sign up for a free subscription](https://azure.microsoft.com/pricing/free-trial/).
 
 - Enable [Defender for Cloud on your Azure subscription](connect-azure-subscription.md).
@@ -49,4 +51,4 @@ The cloud security explorer can be used to identify generative AI workloads and
 ## Next step
 
 > [!div class="nextstepaction"]
-> [Explore risks to pre-deployed generative AI artifacts](explore-ai-risk.md)
+> [Explore risks to generative AI artifacts before deployment](explore-ai-risk.md)