title fix

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 pre-deployment risks to generative AI artifacts
+        - name: Explore risks to pre-deployment generative AI artifacts
           displayName: AI, risks, generative, applications, apps
           href: explore-ai-risk.md
     - name: Data-aware security posture

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

@@ -1,12 +1,12 @@
 ---
-title: Explore predeployment risks to generative AI artifacts
+title: Explore risks to pre-deployment generative AI artifacts
 description: Learn how to discover potential security risks for your generative AI applications in Microsoft Defender for Cloud.
 ms.topic: how-to
 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 predeployment risks to generative AI artifacts
+# Explore risks to pre-deployment generative AI artifacts
 
 Defender Cloud Security Posture Management (CSPM) plan in Microsoft Defender for Cloud helps you to improve the security posture of generative AI apps, by identifying vulnerabilities in generative AI libraries that exist in your AI artifacts such as container images and code repositories. This article explains how to explore, identify security risks for those applications.
 

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

@@ -51,4 +51,4 @@ The cloud security explorer can be used to identify generative AI workloads and
 ## Next step
 
 > [!div class="nextstepaction"]
-> [Explore pre-deployment risks to generative AI artifacts](explore-ai-risk.md)
+> [Explore risks to pre-deployment generative AI artifacts](explore-ai-risk.md)