Contextual based discovery

  • Release version: Zurich
  • Updated July 31, 2025
  • 1 minute to read
  • 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. Data patterns with the type Model use this feature, see pattern type in Configure Data Discovery patterns for more details.

    Warning:
    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.