> 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-cloud-runtime-security/cases-and-issues/investigation-and-response/investigate-issues/run-an-automation-on-an-issue.md).

# Run an automation on an issue

You can automate issue investigation and remediation by running a playbook or Quick Action on one or more issues. Automations can help to improve efficiency by automating and standardizing your workflows, promoting consistent and effective case response and management. For example, automations can automatically remediate a case by interacting with a third-party integration or open tickets in a ticketing system such as Jira.

You can view the playbook that is running on an issue or the playbooks that have already run in the **Work Plan** for an issue. You can view Quick Actions in the **War Room** for an issue.

{% hint style="info" %}

### Note

In addition to automation, some playbooks contain manual tasks that prompt the analyst for input. This enables you to enhance an automation workflow with analyst input.
{% endhint %}

### Manually run a playbook or Quick Action on one or more issues

1. Right-click one or more issues in the Issues table and select **Run Automation**.
2. If the issues have an automation already assigned, choose **Rerun current Automation** or **Select another Automation**. If the issues do not have an automation assigned, select **Select Automation**.
3. If you are not rerunning the current assigned automation, select an automation to run for the selected issue or issues.
4. Click **Run**.

{% hint style="info" %}

### Note

You can also manually select a playbook to run from the Issue **Work Plan** tab.
{% endhint %}

### Apply automation rules

You can create automation rules that automatically run a playbook or Quick Action when an issue is created that meets specific criteria.


---

# 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-cloud-runtime-security/cases-and-issues/investigation-and-response/investigate-issues/run-an-automation-on-an-issue.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.