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All full names

All full names is a bundled named entity. It detects full names for people from all supported countries/regions, which include Australia, China, Japan, U.S., and countries in the EU. Use this SIT to detect all possible matches of full names.


Because bundled SITs are a type of advanced classifier, you must enable advanced classification before implementing them. Advanced classification must also be turned on to enable Endpoint DLP.

For information about enabling advanced classification, and about configuring endpoints and the supported file types, see Advanced classification scanning and protection


If you're not an E5 customer, use the 90-day Microsoft Purview solutions trial to explore how additional Purview capabilities can help your organization manage data security and compliance needs. Start now at the Microsoft Purview compliance portal trials hub. Learn details about signing up and trial terms.







Keyword Highlighting

Not supported

When keyword highlighting is supported in the contextual summary for a sensitive information type or a trainable classifier, in the Contextual Summary view of activity explorer, the keywords in a document that were matched to a policy are highlighted.

Cloud Support

Cloud support is available for the following:

  • Microsoft Commercial Cloud
  • Microsoft Government Community Cloud
  • Microsoft 365 Government Community Cloud High
  • Microsoft 365 Department of Defense


This named entity SIT matches personal names that a human would identify as a name with high confidence. For example, if a string is found consisting of a given name and is followed by a family name then a match is made with high confidence. It uses three primary resources:

  • A dictionary of given names.
  • A dictionary of family names.
  • Patterns of how names are formed.

The three resources are different for each country. The strings Olivia Wilson would trigger a match. Common given/family names are given a higher confidence than rarer names. However, the pattern also allows partial matches. If a given name from the dictionary is found and it's followed by a family name that isn't in the dictionary, then a partial match is triggered. For example, Tomas Richard would trigger a partial match. Partial matches are given lower confidence.

In addition, patterns that a human would see as indicative of names are also matched with appropriate confidence. Like O. Wilson, O.P. Wilson, Dr. O. P. Wilson, Wilson, O.P. or T. Richard, Jr. would be matches.

Supported languages

  • English
  • Bulgarian
  • Croatian
  • Czech
  • Danish
  • Estonian
  • Finnish
  • French
  • German
  • Hungarian
  • Icelandic
  • Irish
  • Italian
  • Japanese
  • Latvian
  • Lithuanian
  • Maltese
  • Dutch
  • Norwegian
  • Polish
  • Portuguese
  • Romanian
  • Slovak
  • Slovenian
  • Spanish
  • Swedish
  • Turkish