Fixes references to Google Vertex API key (#6578)

elastic · Mar 5, 2025 · 33063eb · 33063eb
1 parent 21005d1
commit 33063eb
Showing 1 changed file with 4 additions and 4 deletions.
diff --git a/docs/AI-for-security/connect-to-vertex.asciidoc b/docs/AI-for-security/connect-to-vertex.asciidoc
@@ -6,7 +6,7 @@
 :frontmatter-tags-content-type: [guide]
 :frontmatter-tags-user-goals: [get-started]
 
-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 https://cloud.google.com/vertex-ai/docs/general/locations#feature-availability[supported regions]. 
 
@@ -63,12 +63,12 @@ The following video demonstrates these steps.
 =======
 
 [discrete] 
-== Generate an API key
+== Generate a 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**.
 3. Go to the **KEYS** tab, click **ADD KEY**, then select **Create new key**.
-4. Select **JSON**, then click **CREATE** to download the key. Keep it somewhere secure.
+4. Select **JSON**, then click **CREATE** to download the credentials JSON. Keep it somewhere secure.
 
 The following video demonstrates these steps.
 
@@ -98,7 +98,7 @@ 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`. https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models[Learn more about the models].
-7. Under **Authentication**, enter your API key.
+7. Under **Authentication**, enter your credentials JSON.
 8. Click **Save**.
 
 The following video demonstrates these steps.