fixes

Author: lgayhardt

articles/ai-foundry/how-to/develop/run-ai-red-teaming-cloud.md

@@ -17,14 +17,12 @@ author: lgayhardt
 
 [!INCLUDE [feature-preview](../../includes/feature-preview.md)]
 
-Though the AI Red Teaming Agent (preview) can be run [locally](./develop/run-scans-ai-red-teaming-agent) during prototyping and development to help identify safety risks, running them in the cloud allows for pre-deployment AI red teaming runs on larger combinations of attack strategies and risk categories for a fuller analysis.
+Though the AI Red Teaming Agent (preview) can be run [locally](./develop/run-scans-ai-red-teaming-agent.md) during prototyping and development to help identify safety risks, running them in the cloud allows for pre-deployment AI red teaming runs on larger combinations of attack strategies and risk categories for a fuller analysis.
 
 ## Prerequisites
 
 [!INCLUDE [uses-fdp-only](../../includes/uses-fdp-only.md)]
 
-### Prerequisite set up steps for Azure AI Foundry Projects
-
 If this is your first time running evaluations or AI red teaming runs on your Azure AI Foundry project, you might need to do a few additional setup steps.
 
 1. [Create and connect your storage account](https://github.com/azure-ai-foundry/foundry-samples/blob/main/samples/microsoft/infrastructure-setup/01-connections/connection-storage-account.bicep) to your Azure AI Foundry project at the resource level. This bicep template provisions and connects a storage account to your Foundry project with key authentication.

articles/ai-foundry/how-to/develop/run-scans-ai-red-teaming-agent.md

@@ -24,6 +24,16 @@ This article guides you through the process of
 - Creating an AI Red Teaming Agent locally
 - Running automated scans locally and viewing the results
 
+## Prerequisites
+
+- An Azure AI Foundry project or hubs based project. To learn more, see [Create a project](/how-to/create-projects.md)
+
+    If this is your first time running evaluations or AI red teaming runs on your Azure AI Foundry project, you might need to do a few additional setup steps.
+    
+    1. [Create and connect your storage account](https://github.com/azure-ai-foundry/foundry-samples/blob/main/samples/microsoft/infrastructure-setup/01-connections/connection-storage-account.bicep) to your Azure AI Foundry project at the resource level. This bicep template provisions and connects a storage account to your Foundry project with key authentication.
+    2. Make sure the connected storage account has access to all projects.
+    3. If you connected your storage account with Microsoft Entra ID, make sure to give MSI (Microsoft Identity) permissions for Storage Blob Data Owner to both your account and Foundry project resource in Azure portal.
+
 ## Getting started
 
 First install the `redteam` package as an extra from Azure AI Evaluation SDK, this provides the PyRIT functionality:
@@ -35,14 +45,6 @@ uv install azure-ai-evaluation[redteam]
 > [!NOTE]
 > PyRIT only works with Python 3.10, 3.11, 3.12 but doesn't support Python 3.9. If you're using Python 3.9, you must upgrade your Python version to use this feature.
 
-### Prerequisite set up steps for Azure AI Foundry Projects
-
-If this is your first time running evaluations or AI red teaming runs on your Azure AI Foundry project, you might need to do a few additional setup steps.
-
-1. [Create and connect your storage account](https://github.com/azure-ai-foundry/foundry-samples/blob/main/samples/microsoft/infrastructure-setup/01-connections/connection-storage-account.bicep) to your Azure AI Foundry project at the resource level. This bicep template provisions and connects a storage account to your Foundry project with key authentication.
-2. Make sure the connected storage account has access to all projects.
-3. If you connected your storage account with Microsoft Entra ID, make sure to give MSI (Microsoft Identity) permissions for Storage Blob Data Owner to both your account and Foundry project resource in Azure portal.
-
 ## Create and run an AI Red Teaming Agent
 
 You can instantiate the AI Red Teaming agent with your Azure AI Project and Azure Credentials.

articles/ai-foundry/how-to/view-ai-red-teaming-results.md

@@ -35,7 +35,7 @@ Or by attack complexity classification:
 
 Drilling down further into the data tab provides a row-level view of each attack-response pair, enabling deeper insights into system issues and behaviors. For each attack-response pair, you can see additional information such as whether or not the attack was successful, what attack strategy was used and its attack complexity. There's also an option for a human in the loop reviewer to provide human feedback by selecting the thumbs up or thumbs down icon.
 
-:::image type="content" source="../../media/evaluations/red-teaming-agent/ai-red-team-data.png" alt-text="Screenshot of AI Red Teaming data page in Azure AI Foundry." lightbox="../media/evaluations/red-teaming-agent/ai-red-team-data.png":::
+:::image type="content" source="../media/evaluations/red-teaming-agent/ai-red-team-data.png" alt-text="Screenshot of AI Red Teaming data page in Azure AI Foundry." lightbox="../media/evaluations/red-teaming-agent/ai-red-team-data.png":::
 
 To view each conversation, selecting **View more** opens up the full conversation for more detailed analysis of the AI system's response.