> For the complete documentation index, see [llms.txt](https://cortex-docs.paloaltonetworks.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://cortex-docs.paloaltonetworks.com/cortex-xsiam/configure-cortex-xsiam/cortex-xsiam-data-sources/vendor-specific-data-sources-and-connectors/google/google-ai.md).

# Google AI

{% hint style="warning" %}
**Important**

This connector is only available for tenants that onboarded after July 26, 2026. For tenants that onboarded before this date, use Marketplace to access the standalone integration. For more information, see [Marketplace](/cortex-xsiam/configure-cortex-xsiam/marketplace.md).
{% endhint %}

This sub-capability is available with any active Cortex XSIAM or Cortex AgentiX license.

The Google Gemini connector provides access to Google's advanced large language models for AI-powered chat conversations, text analysis, and natural language processing within Cortex XSOAR / XSIAM. It supports two authentication modes: Google AI Studio (API key) and Google Cloud Vertex AI (service account), and multiple Gemini models.

This connector includes the following sub-capabilities (Marketplace integrations link to PAN DEV for more information):

* [GoogleGemini](https://xsoar.pan.dev/docs/reference/integrations/google-gemini): Google Gemini LLM Integration for AI-powered analysis and chat capabilities. This integration provides access to Google Gemini's large language models for AI-powered chat conversations, text analysis and generation, and natural language processing tasks.

To configure this connector, follow the steps outlined in the configuration wizard.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://cortex-docs.paloaltonetworks.com/cortex-xsiam/configure-cortex-xsiam/cortex-xsiam-data-sources/vendor-specific-data-sources-and-connectors/google/google-ai.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.