> 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-agentix/configure-cortex-agentix/cortex-agentix-data-sources-and-connectors/vendor-specific-data-sources-and-connectors/x/x-automation-and-remediation.md).

# X Automation and Remediation

Use X Automation and Remediation data for Cortex AgentiX.

{% 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-agentix/configure-cortex-agentix/marketplace.md).
{% endhint %}

This connector is available with any active Cortex XSIAM or Cortex AgentiX license.

The Twitter (X) integration enables cybersecurity researchers and SOC teams to harness Twitter to enhance their security operations, providing access to searching recent Tweets (within the last 7 days) and user information using the Twitter v2 API. Teams can automate searching to detect potential threats, gather intelligence on cyber attacks, monitor brand reputation, track threat actors, and detect fraudulent accounts impersonating their company.

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

* [Twitter v2](https://xsoar.pan.dev/docs/reference/integrations/twitter-v2): Twitter integration provides access to searching recent Tweets (in last 7 days) and user information using the Twitter v2 API.

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 by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://cortex-docs.paloaltonetworks.com/cortex-agentix/configure-cortex-agentix/cortex-agentix-data-sources-and-connectors/vendor-specific-data-sources-and-connectors/x/x-automation-and-remediation.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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.