Contextual based discovery

Use contextual based discovery to help discover sensitive data that does not follow fixed patterns.

Data Discovery supports using a Named Entity Recognition (NER) model to discover data such as names, organizations, nationalities, and political affiliations. This feature requires a license check from the customer before it is enabled.

AI model-based discovery supports 5 patterns by default.

Table 1. Contextual discovery patterns

Pattern	Description	Example text	Matching text
Person	The name of individual(s)	John Doe came by for a coffee.	John Doe
Nationality, religious or political groups (NRPs)	National, religious and political affiliations.	He was an American.	American
Location	Addresses or location information	He was in New York	New York
Date_Time	Dates and time information	He came at 9:30 today.	9:30 today
Organization	Organization names	He works at ServiceNow.	ServiceNow

Note:

AI Model-based discovery is only supports English for use with Real time anonymization(RTA) for tables and the Data Kit channel.