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[8.16] Fixes references to Google Vertex API key (backport #6578) #6580

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[8.16] Fixes references to Google Vertex API key (backport #6578) #6580

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8 changes: 4 additions & 4 deletions docs/AI-for-security/connect-to-vertex.asciidoc
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Expand Up @@ -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].

Expand Down Expand Up @@ -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.

Expand Down Expand Up @@ -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.
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