Fixes Google Vertex setup guide bug (#670)

Fixes #364 by updating how the credentials file is referred to on the
Google Vertex setup guide.

Author: benironside

solutions/security/ai/connect-to-google-vertex.md

@@ -13,7 +13,7 @@ mapped_urls:
 % - [x] ./raw-migrated-files/security-docs/security/connect-to-vertex.md
 % - [ ] ./raw-migrated-files/docs-content/serverless/security-connect-to-google-vertex.md
 
-This page provides step-by-step instructions for setting up a Google Vertex AI connector for the first time. This connector type enables you to leverage Vertex AI’s large language models (LLMs) within {{elastic-sec}}. You’ll first need to enable Vertex AI, then generate an API key, and finally configure the connector in your {{elastic-sec}} project.
+This page provides step-by-step instructions for setting up a Google Vertex AI connector for the first time. This connector type enables you to leverage Vertex AI’s large language models (LLMs) within {{elastic-sec}}. You’ll first need to enable Vertex AI, then generate a key, and finally configure the connector in your {{elastic-sec}} project.
 
 ::::{important}
 Before continuing, you should have an active project in one of Google Vertex AI’s [supported regions](https://cloud.google.com/vertex-ai/docs/general/locations#feature-availability).
@@ -74,7 +74,7 @@ The following video demonstrates these steps.
 
 
 
-## Generate an API key [_generate_an_api_key]
+## Generate a key [_generate_an_api_key]
 
 1. Return to Vertex AI’s **Credentials** menu and click **Manage service accounts**.
 2. Search for the service account you just created, select it, then click the link that appears under **Email**.
@@ -108,7 +108,7 @@ Finally, configure the connector in your Elastic deployment:
 4. Under **URL**, enter the URL for your region.
 5. Enter your **GCP Region** and **GCP Project ID**.
 6. Under **Default model**, specify either `gemini-1.5.pro` or `gemini-1.5-flash`. [Learn more about the models](https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models).
-7. Under **Authentication**, enter your API key.
+7. Under **Authentication**, enter your credentials JSON.
 8. Click **Save**.
 
 The following video demonstrates these steps.