Create anonymization techniques

Create a data privacy technique configuration to customize how data privacy anonymizes your data.

Before you begin

Role required: data_privacy_admin and admin

Procedure

1. Elevate to the data_privacy_admin role.
   For details on role elevation, see Elevate to a privileged role.
2. Navigate to System Security > Data Privacy > Anonymization.
3. Select View techniques.
   There are several pre-defined techniques available for selection.

   Technique	Description
   Selective Replace	This technique does a selective replace of String data. All characters between the input's start and end indices are replaced with the character you choose. You can specify characters to exclude from masking: start_index: Technique masks data starting at the specified character. If left blank, masking begins with the first character. end_index: Technique masks data from the start of the string to the specified character. If left blank, masking ends with the last character. exclude_char: Define a character to exclude from masking. replacement_char: Define a character used for masking. If none is provided, asterisks(*) are used by default.
   Static Replace	This technique swaps values with static values. String, Number, and Date data can use this technique: date_time_value: Replace Date values with this date. Use the yyyy-MM-dd HH:mm:ss format. date_value: Replace Date values with this date. Use the yyyy-MM-dd format. number_value: Replace Number values with this number. string_value: Replace String values with this text. number_type: Accepts an integer number
   Random Replace	This technique swaps values with randomly generated values. String and Number data can use this technique.
   Remove	This technique removes values, replacing them with empty (null) values.
   No Action	This technique is a placeholder. It does not modify fields when selected.
   Selective Replace with X	Transforms String data and selectively replaces sensitive characters with the letter X. Note: Default technique for data patterns in Exploring Data Discovery (Classic).
   Data pattern anonymization	Only anonymizes discovered data patterns within unstructured data fields while keeping underlying context intact. Note: Settings for this technique reference data pattern anonymization technique settings in Exploring Data Discovery (Classic).

4. Select Add custom technique, if not using a pre-defined technique.
5. Fill in the fields in the Customize technique form.

   Field1	Description
   Base technique	Select a pre-defined technique, as custom techniques are based on the pre-defined techniques.
   Technique name	Enter a name for the technique.
   Technique description	Enter a description for the technique.

6. Select Next.
7. Enter the technique parameters.
   The available parameterized values depend on which privacy technique you have selected. There are no parameterized values for the No Action and Remove techniques.

   Table 1. Privacy parameterized values for the Base techniques

   Base Technique	Privacy Technique Parameter value	Description	Default value
   Selective Replace	end_index	Technique masks data from the start of the string to the specified character. If left empty, masking ends with the last character.	(Empty)
   Selective Replace	exclude_char	Character to skip masking. Only a single character can be used in this value. If more than one is entered, the first character is used.	(Empty)
   Selective Replace	replacement_char	Character to use when replacing values using a selective replace.	An asterisk (*) is used if no other value is entered.
   Selective Replace	start_index	Technique masks data starting at the specified character.	If left blank, masking starts at the first character.
   Static Replace	date_time_value	Replace date and time values with this date. Use the yyyy-MM-dd HH:mm:ss format.	1988-11-11 10:10:10
   Static Replace	date_value	Replace date values with this date. Use the yyyy-MM-dd format.	1988-11-11
   Static Replace	number_value	Replace Number values with this number.	1234567
   Static Replace	string_value	Replace String values with this text.	TEXT123
   Random Replace	preserve_data_length	Set to true to preserve data length. De-identified data will have the same length as the original data.	True

8. Select Create Custom Technique.
   Your custom technique is added to the Anonymization techniques.

What to do next

See Create anonymization policies to configure an anonymization policy to specify which techniques are used when anonymizing your data.