Maya suggested fixes and more

Author: ElazarK

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

@@ -2,12 +2,12 @@
 title: Onboard Defender for AI Workloads
 description: Learn how to enable the Defender for AI Workloads plan on your Azure subscription for Microsoft Defender for Cloud.
 ms.topic: install-set-up-deploy
-ms.date: 04/17/2024
+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. 
+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. 
 
 > [!IMPORTANT]
 > The Defender for AI Workloads plan is currently in preview.
@@ -21,7 +21,7 @@ To get started you must [sign up](https://aka.ms/D4AI/PublicPreviewAccess) for t
 
 - 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 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.
+- 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.
 
 ## Enroll in the limited public preview
 
@@ -31,27 +31,27 @@ Before you can start to use the Defender for AI Workloads plan, you must enroll
 
 1. Wait to receive an email that confirms your acceptance or rejection from the preview program.
 
-If you are accepted into the preview program, you can enable the Defender for AI Workloads plan to your Azure subscription.
+If you're accepted into the preview program, you can enable the Defender for AI Workloads plan to your Azure subscription.
 
 ## Enable the Defender for AI Workloads plan
 
-You can enable the Defender for AI Workloads plan on an Azure subscription and AWS accounts.
+You can enable the Defender for AI Workloads plan on an Azure subscription.
 
 1. Sign in to the [Azure portal](https://portal.azure.com).
 
 1. Search for and select **Microsoft Defender for Cloud**.
 
 1. In the Defender for Cloud menu, select **Environment settings**.
 
-1. Select the relevant Azure subscription or AWS account.
+1. Select the relevant Azure subscription.
 
 1. On the Defender plans page, toggle the AI Workloads plan to **On**.
 
     :::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 you have onboarded 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.
+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
 

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

@@ -1,7 +1,7 @@
 ---
 title: AI security posture management
 description: Learn about AI security posture management in Microsoft Defender for Cloud and how it protects resources from AI threats.
-ms.date: 05/01/2024
+ms.date: 05/02/2024
 ms.topic: concept-article
 ms.author: elkrieger
 author: Elazark
@@ -10,27 +10,25 @@ 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:
+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:
 
-- Discovering generative AI bill of materials (AI BOM), which includes application components, data, and AI artifacts from code to cloud.
+- Discover 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.":::
 
-## Discovering generative AI apps within your environment
+## Discover generative AI apps within your environment
 
 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.
 
-Defenders for Cloud automatically and continuously discover deployed AI workloads across the following service: 
+Defenders for Cloud automatically and continuously discover deployed AI workloads across the following services: 
 
 - Azure OpenAI Service
 - Azure Machine Learning
 - Amazon Bedrock.
 
-In addition to discovering deployed AI workloads, Defender for Cloud can also discover vulnerabilities within generative AI library dependencies such as TensorFlow, PyTorch, and Langchain. By scanning source code for Infrastructure as Code (IaC) misconfigurations and container images for vulnerabilities.
-
-Regularly updating or patching these can prevent exploits, protecting generative AI applications and maintaining their integrity.
+Defender for Cloud can also discover vulnerabilities within generative AI library dependencies such as TensorFlow, PyTorch, and Langchain, by scanning source code for Infrastructure as Code (IaC) misconfigurations and container images for vulnerabilities. Regularly updating or patching the libraries can prevent exploits, protecting generative AI applications and maintaining their integrity.
 
 With these features, Defender for Cloud provides full visibility of AI workloads from code to cloud.
 
@@ -44,9 +42,11 @@ Defender for Cloud assesses AI workloads and issues recommendations around ident
 
 #### Detecting IaC misconfigurations
 
-DevOps security, detects IaC misconfigurations, which can expose generative AI applications to security vulnerabilities, such as over-exposed access controls or inadvertent publicly exposed services. These misconfigurations could lead to data breaches or unauthorized access. Misconfigurations could lead to compliance issues, especially when handling strict data privacy regulations.
+DevOps security detects IaC misconfigurations, which can expose generative AI applications to security vulnerabilities, such as over-exposed access controls or inadvertent publicly exposed services. These misconfigurations could lead to data breaches, unauthorized access, and compliance issues, especially when handling strict data privacy regulations.
+
+Defender for Cloud assesses your generative AI apps configuration and provides security recommendations to improve AI security posture. 
 
-Defender for Cloud assesses your generative AI apps configuration and provides security recommendations to improve AI security posture. Remediate misconfigurations early in the development cycle allows organizations to prevent more complex problems later on. 
+Detected misconfigurations should be remediated early in the development cycle to prevent more complex problems later on. 
 
 Current IaC AI security checks include:
 
@@ -57,13 +57,13 @@ Current IaC AI security checks include:
 
 ### Explore 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 pre-trained model on a specific dataset to improve its performance on a related task) stages, where data might be exposed. 
+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. 
 
-By continuously monitoring AI workloads, attack path analysis can identify weaknesses and potential vulnerabilities and follow up with recommendations. Additionally, it extends to cases where the data and compute resources are distributed across Azure, AWS and GCP.
+By monitoring AI workloads continuously, attack path analysis can identify weaknesses and potential vulnerabilities and follow up with recommendations. Additionally, it extends to cases where the data and compute resources are distributed across Azure, AWS, and GCP.
 
 ## Related content
 
-- [Explore risks to pre-deployed generative AI artifacts](explore-ai-risk.md)
+- [Explore risks to predeployed generative AI artifacts](explore-ai-risk.md)
 - [Review security recommendations](review-security-recommendations.md)
 - [Identify and remediate attack paths](how-to-manage-attack-path.md)
 - [Discover generative AI workloads](identify-ai-workload-model.md)

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

@@ -2,7 +2,7 @@
 title: Discover generative AI workloads
 description: Learn how to use the cloud security explorer to determine which AI workloads and models are running in your environment.
 ms.topic: how-to
-ms.date: 05/01/2024
+ms.date: 05/02/2024
 # 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.
 ---
 
@@ -16,15 +16,15 @@ Defender for Cloud provides a comprehensive view of your organization's AI bill
 
 - 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).
+- Enable [Defender for Cloud on your Azure subscription](connect-azure-subscription.md).
 
 - Enable [Defender Cloud Security Posture Management (CSPM)](tutorial-enable-cspm-plan.md) on your Azure subscription.
 
-- Have at least one environment with  AI supported workloads (Azure Open AI, AWS account).
+- Have at least one environment with AI supported workloads (Azure Open AI, AWS account).
 
 ## Discover AI workloads and models in use
 
-The cloud security explorer can be used to identify generative AI workloads and models running in your environment, 
+The cloud security explorer can be used to identify generative AI workloads and models running in your environment.
 
 1. Sign in to the [Azure portal](https://portal.azure.com/).
 

articles/defender-for-cloud/release-notes.md

@@ -39,7 +39,7 @@ Learn more about [AI security posture management](ai-security-posture.md).
 
 May 6, 2024
 
-Defender for AI Workloads provides contextual insights into AI workload threat protection, integrating with [responsible AI](../ai-services/responsible-use-of-ai-overview.md) and Microsoft Threat Intelligence. Defender for AI security alerts are integrated into Defender XDR in the Defender portal. 
+Defender for AI Workloads provides contextual insights into AI workload threat protection, integrating with [Responsible AI](../ai-services/responsible-use-of-ai-overview.md) and Microsoft Threat Intelligence. Defender for AI security alerts are integrated into Defender XDR in the Defender portal. 
 This plan helps you monitor your Azure OpenAI powered applications in runtime for malicious activity, identify and remediate security risks.
 
 Learn more about [Defender for AI Workloads](ai-threat-protection.md).