# Named entity sensitive information types are used in auto-labeling and data loss prevention policies
Named entity sensitive information types (SITs) are prebuilt Microsoft classifiers that detect common sensitive entities like people's names, physical…
Source: https://maester.dev/docs/tests/ZTA.35035
## Overview
Named entity sensitive information types (SITs) are prebuilt Microsoft classifiers that detect common sensitive entities like people's names, physical addresses, and medical terminology. They extend data protection beyond pattern matching into context aware classification, and can be used in auto-labeling policies and DLP rules without any custom development.
## Remediation
- [Learn about named entities](https://learn.microsoft.com/purview/sit-named-entities-learn?wt.mc_id=zerotrustrecommendations_automation_content_cnl_csasci)
- [Use named entities in your data loss prevention policies](https://learn.microsoft.com/purview/sit-named-entities-use?wt.mc_id=zerotrustrecommendations_automation_content_cnl_csasci)
## Run it
The check runs as part of the whole assessment, with the ZeroTrustAssessment module installed:
```powershell
Install-Module ZeroTrustAssessment -Scope CurrentUser
Connect-Maester
Invoke-Maester -Pack ZTA -SkipBuiltIn
```
Leave out `-SkipBuiltIn` to run Maester's own checks in the same run.
About this check
| | |
| --- | --- |
| Severity | High |
| Effort to fix | Low |
| Impact on users | Medium |
| Pillar | Data, AI |
| Category | Advanced Classification |
| Product | [Purview](/docs/tests/products/purview) |
| Feature | Data classification |
| Area | Data protection |
| Licence | EXCHANGE_S_ENTERPRISE |
| Tenant | Workforce |
Product, feature, area and ATT&CK are Maester's: the assessment does not record them, so Maester keeps them in the pack's `taxonomy.json`.