> 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/data-security-documentation/data-security/data-classification/how-to-use-information-protection-labels-in-cortex-data-security.md).

# How to use information protection labels in Cortex Data Security

**Overview**

Information protection labels are digital tags that help your organization classify and secure sensitive data. They identify how sensitive a piece of information is, whether it's a document or an email. Once applied, these labels can automatically trigger protective measures like encryption to control who can access the file, or restrictions on who can edit or share it.

Ultimately, these labels are vital for enforcing your data policies and significantly cutting down the risk of data breaches. They ensure sensitive information is managed correctly throughout its entire journey, from when it's created to when it's no longer needed.

Each sensitivity label within your organization is assigned a unique GUID. This ensures consistent policy enforcement regardless of where the data resides or moves.

Once you have integrated Microsoft 365 with Cortex Data Security, after scanning you will be able to identify the files having information protection labels and view the specific GUIDs for each one.

For information about integrating Microsoft 365 (Posture), see [How to onboard Microsoft 365](broken://pages/OemkRjNpRX9xi2yXwOQH).

**How Cortex Data Security locates information protection labels**

The Cortex Data Security scanner runs on your files and extracts the information protection labels from them during the classification process. This extraction is supported across all platforms and asset types, both file-based and unstructured.

**Label translation**

To enable the translation of Microsoft IDs to label names, connect to the Microsoft 365 integration.

**Example**

| GUID                                 | Translated Label   |
| ------------------------------------ | ------------------ |
| 6b29fc40-ca47-1067-b31d-00dd010662da | Sensitive-Internal |

**Find the labels in the Cortex Data Security Security Command Center**

1. In the navigation pane on the left, click **Modules → Data Security**.
2. Under **Objects Inventory**, click **Files**.
3. On the **Files Inventory** screen, click **Show filter panel** to open the filter panel and then do the following:
   1. In the **Select field** list, select **Has Information Protection Labels**.
   2. In the next list to the right, select the equals sign **(=)**.
   3. In the next field to the right, select **Yes**.
   4. Click anywhere in the screen outside the filter panel area.

      Now only files with information protection labels are displayed. In the **Information Protection Labels** column, the IDs for these labels appear.

{% hint style="info" %}
**Note:** Only If you have connected a Microsoft 365 instance to Cortex Data Security, the information protection labels appear. See [How to onboard Microsoft 365](broken://pages/OemkRjNpRX9xi2yXwOQH).
{% endhint %}


---

# 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/data-security-documentation/data-security/data-classification/how-to-use-information-protection-labels-in-cortex-data-security.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.
