Named entity sensitive information types are used in auto-labeling and data loss prevention policies

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
• Use named entities in your data loss prevention policies

Run it

The check runs as part of the whole assessment, with the ZeroTrustAssessment module installed:

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
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.

A Microsoft check, part of the Zero Trust Assessment pack. Text from ZeroTrustAssessment 3.1.0, © Microsoft, MIT licence.