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You are viewing documentation for Immuta version 2023.4.

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Create a Dictionary Identifier

Note

In previous documentation, identifier is referred to as classifier. The language is being updated to identifier to be more accurate and not conflate meaning with the Immuta data classification and frameworks feature.

Use case: Custom dictionary identifier

Scenario: You have data that includes the names of the rooms employees' desks are in across your organization. Although these locations may be considered sensitive in particular datasets, they would not be recognized by Immuta's built-in identifiers.

A custom dictionary identifier allows you to create your own rules that enable Immuta's sensitive data discovery to match a list of room names to values in the dataset. The tutorial below uses this scenario to illustrate creating this identifier.

Attributes of the custom dictionary identifier

Attributes of all custom identifiers are provided on the Sensitive data discovery API page. However, attributes specific to the custom dictionary identifier are outlined in the table below.

Attribute Description
name string Unique, request-friendly identifier name.
displayName string Unique, human-readable identifier name.
description string The identifier description.
type string The type of identifier: dictionary.
config object Includes config.minConfidence, config.tags, config.values, and config.caseSensitive (defaults to false). *See descriptions below.
minConfidence* number When the detection confidence is at least this percentage, tags are applied.
tags* array[string] The name of the tags to apply to the data source. Note: All tags must start with Discovered..
values* array[string] The list of words to include in the dictionary.
caseSensitive* boolean Indicates whether or not values are case sensitive. Defaults to false.

Create a custom dictionary identifier

  1. Generate your API key on the API Keys tab on your profile page and save the API key somewhere secure. You will include this API key in the authorization header when you make a request to the Immuta API or use it to configure your instance with the Immuta CLI.

  2. Save the custom dictionary identifier payload in a .json file. The dictionary below contains the words Research Lab, Blue Room, and Purple Room.

    {
      "name": "EMPLOYEE_DESK_LOCATION_IDENTIFIER",
      "displayName": "Employee Desk Location Identifier",
      "description": "This identifier detects when an employee's desk location appears in a dataset.",
      "type": "dictionary",
      "config": {
        "values": ["Research Lab", "Blue Room", "Purple Room"],
        "caseSensitive": false,
        "minConfidence": 0.6,
        "tags": ["Discovered.desk-location"]
      }
    }
    
  3. Create the identifier using one of these methods:

    Immuta CLI

    immuta api sdd/classifier -X POST --input ./example-payload.json
    

    HTTP API

    curl \
        --request POST \
        --header "Content-Type: application/json" \
        --header "Authorization: 12345678900000" \
        --data @example-payload.json \
        https://your-immuta-url.immuta.com/sdd/classifier
    
  4. If the request is successful, you will receive a response that contains details about the identifier.

    {
      "createdBy": {
        "id": 1,
        "name": "John",
        "email": "john@example.com"
      },
      "name": "EMPLOYEE_DESK_LOCATION_IDENTIFIER",
      "displayName": "Employee Desk Location Identifier",
      "description": "This identifier detects when an employee's desk location appears in a dataset.",
      "type": "dictionary",
      "config": {
        "tags": [
          "Discovered.desk-location"
        ],
        "values": [
          "Research Lab",
          "Blue Room",
          "Purple Room"
        ],
        "caseSensitive": false,
        "minConfidence": 0.6
      },
      "id": 68,
      "createdAt": "2021-10-20T17:57:51.696Z",
      "updatedAt": "2021-10-20T17:57:51.696Z"
    }
    

What's next

Continue to one of the following tutorials:

  • Run sensitive data discovery on data sources: Trigger SDD to run on specified data sources.
  • Create a template: Although only data governors can create identifiers, data owners can add identifiers to templates, which they then apply to their data sources to override minConfidence or tags for identifiers within the template.