Learn about named entities (preview)

Important

The named entities feature is rolling out and will appear in your tenant when it is available to you. Check for them in content explorer and in the data loss prevention (DLP) policy authoring flow.

Named entities are sensitive information types (SIT). They're complex dictionary and pattern-based classifiers that you can use to detect person names, physical addresses, and medical terms and conditions. You can see them in the Compliance Center > Data classification > Sensitive info types. Here is a partial list of where you can use SITs:

DLP makes special use of named entities in enhanced policy templates, which are pre-configured DLP policies that you can customize for your organizations needs. You can also create your own DLP policies from a blank template and use a named entity SIT as a condition.

Examples of named entity SITs

Named entity SITs come in two flavors, bundled and unbundled

Bundled named entity SITs detect all possible matches. Use them as broad criteria in your DLP policies for detecting sensitive items.

Unbundled named entity SITs have a narrower focus, like a single country. Use them when you need a DLP policy with a narrower detection scope.

Here are some examples of named entity SITs. You can find all 52 of them in the Compliance Center > Data classification > Sensitive info types.

Named Entity Description Bundled/Unbundled
All full names will detect all possible matches of full names bundled
All physical addresses will detect all possible matches of physical addresses bundled
All medical terms and conditions will detect all possible matches of medical terms and conditions bundled
Australia Physical Addresses Detects patterns related to physical addresses from Australia. unbundled
Blood Test Terms Detects terms related to blood tests, such as 'hCG'. English terms only. unbundled
Brand Medication Names Detects names of brand medication, such as 'Tylenol'. English terms only. unbundled

Examples of enhanced DLP policies

Here are some examples of enhanced DLP policies that use named entity SITs. You can find all 10 of them in the Compliance Center > Data loss prevention > Create policy. Enhanced templates can be used in DLP and auto-labeling.

Policy category Template Description
Financial U.S. Gramm-Leach-Bliley Act (GLBA) Enhanced Helps detect the presence of information subject to Gramm-Leach-Bliley Act (GLBA), including information like social security numbers or credit card numbers. This enhanced template extends the original by also detecting people's full names, U.S./U.K. passport number, U.S. driver's license number and U.S. physical addresses.
Medical and health Australia Health Records Act (HRIP Act) Enhanced Helps detect the presence of information commonly considered to be subject to the Health Records and Information Privacy (HRIP) act in Australia, like medical account number and tax file number. This enhanced template extends the original by also detecting people's full names, medical terms and conditions, and Australia physical addresses.
Privacy General Data Protection Regulation (GDPR) Enhanced Helps detect the presence of personal information for individuals inside the European Union (EU) to help meet GDPR privacy obligations. This enhanced template detects people's full names and physical addresses for countries in the EU.

Next steps

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