Entity Types

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Overview

An entity type is what DryvIQ is detecting. The DryvIQ Platform comes with preinstalled entity types that cover a wide range of data, but you also have the option to create custom entity types. Entity types are assigned to a category that identifies the type of data being detected and a match type that identifies how the data is being detected. This page provides a high-level overview to help you understand entity types. To learn more about a specific match type, refer to the Help Center page for that specific match type.

Categories

Categories identify the type of data being detected. DryvIQ comes with the default categories listed below. You can also create custom categories if one of the default categories doesn’t capture what your entity type will be identifying. (See Managing Categories for information about creating and managing custom categories.)

Category

Description

Category

Description

1

Financial

These entity types are for financial information such as

  • ABA routing numbers,

  • credit card numbers, and

  • bank account numbers.

2

General

This is a catch-all category for any entity type that doesn’t fall into one of the other four categories. Custom entity types are assigned to this category.

3

Privacy

This category is for any entity type pertaining to personally identifiable information (PII). Examples of this type of information include

  • driver license numbers,

  • passport numbers,

  • phone numbers,

  • social security numbers,

  • national numbers, and

  • other national ID numbers.

4

Regulation

Regulation entity types rely on related keywords to find entity types in different areas such as

  • travel,

  • banking/finance,

  • personal, and

  • government.

The built-in Document Type Classifier and Standardized Form Matcher also fall under this category.

5

Technology

This category includes entity types related to the technology field such as domain names and IP addresses.

Match Type

Match type is how the data is being detected. DryvIQ supports four match type methods.

Match Type

Description

Match Type

Description

1

Regular Expression

Regular expression is a pattern used to identify text. It allows you to have very fine-grained control over what content DryvIQ detects.

2

Block List

A block list allows matching on a given list of terms within a piece of content. 

3

Classification

This is a custom classification model that is plugged into the system.  DryvIQ has four preinstalled classification entity types:

  1. Document Type Classifier,

  2. File Name Classifier

  3. Language Detection Module,

  4. PII Extraction Module, and

  5. Standardized Form Matcher.

4

Transformation

A transformation entity type allows for applying a custom metadata expression against any prior matches to generate new value. This option is available only through the DryvIQ API.

Related Pages

DryvIQ Govern Version: 5.9.2
Release Date: December 17, 2024