> 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-posture-management/cases-and-issues/investigation-and-response/automation/playbooks/access-to-playbooks.md).

# Access to playbooks

Control access to playbooks and their content.

Access to playbooks is managed at the object level, enforcing least-privileged access for automation logic. This ensures that sensitive workflows, such as remediation playbooks or custom playbooks, are only visible to and editable by authorized users. For a complete description of how object-level access affects playbook visibility, see Manage access to playbooks and scripts.

**Playbook access roles**

When a playbook is shared, users are assigned one of the following levels:

* **Owner**: Full control over the object and its permissions.
* **Editor**: Can view and modify the playbook definition and logic.
* **Viewer**: Can view the playbook structure and use it in workflows but cannot make changes.


---

# 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-cloud-posture-management/cases-and-issues/investigation-and-response/automation/playbooks/access-to-playbooks.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.
