> 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/analytics-alerts/alerts-by-name/user-accessed-multiple-o365-aip-sensitive-files.md).

# User accessed multiple O365 AIP sensitive files

### Synopsis

| Field                | Value                                                                      |
| -------------------- | -------------------------------------------------------------------------- |
| Activation Period    | 14 Days                                                                    |
| Training Period      | 30 Days                                                                    |
| Test Period          | 1 Hour                                                                     |
| Deduplication Period | 1 Day                                                                      |
| Required Data        | Office 365 Audit                                                           |
| Detection Modules    | Identity Threat Module, SaaS Threat Detection                              |
| Detector Tags        | O365 DLP Analytics                                                         |
| ATT\&CK Tactic       | Collection (TA0009)                                                        |
| ATT\&CK Technique    | Data from Information Repositories (T1213), Data from Local System (T1005) |
| Severity             | Informational                                                              |

### Description

A user accessed multiple O365 AIP sensitive files.

### Attacker's Goals

An attacker is attempting to collect sensitive information.

### Investigative actions

* Look for signs that the user account is compromised (e.g. abnormal logins, unusual activity).
* Follow further actions done by the account.
* Check what sensitivity labels are detected and how suspicious they are.
* Examine the user's account history for suspicious behavior.


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