---
sourceDocument: Australia Platform security
sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/de-DE/platform-security

 Release :

    - australia

ft:locale :

    - de-DE

ft:publication_title :

    - Australia Platform security

ft:clusterId :

    - psec

bundleId :

    - psec

workflow :

    - Platform


---

# Configure patterns

# Configure Data Discovery patterns {#ariaid-title1}

* Freigeben Version: Australia
* 
* Aktualisiert 12. März 2026
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 Minute Lesedauer

Configure a Data Discovery pattern and review current patterns. A Data Discovery pattern defines the regular expression used to match data against a target table.

## Vorbereitungen

Role required: data_discovery_admin

## Prozedur

1. Navigate to System SecurityData DiscoveryAll Data Patterns.
2. In the Data Discovery Pattern list, select New.
3. In the Data Discovery job fields form, fill in the fields.  
   {#configure-data-discovery-patterns__table_tgp_2pb_grb__entry__2}

   | Field | Description |
   |-|-|
   | Internal Scope | Scope of the pattern. |
   | Description | Description of the job. |
   | Name | Name of the data pattern. |
   | Application | Application scope of pattern. |
   | Expression | Regular expression used to discover the data pattern. Hinweis: Expression length must be less than 1000 characters. |
   | Keyword(Optional) | A specific word(or words separated by comma) to be searched for around a expression. Must be used with Keyword Proximity Hinweis: A keyword can be used to search for additional context for a pattern. For example, using keyword can help differentiate between a date of birth or a date of hire given they have the same MM/DD/YY formatting. |
   | Keyword Proximity(Optional) | How far from the expression to search for keywords. Must be used with Keyword Hinweis: Default is 30, upper bound of 64 |
   | Privacy technique configuration | Privacy technique used for the pattern |
   | Synthetic Value | List of values substituted for the patterns |
   | Type | Type of pattern * Local: The pattern is regex-based * Model: Uses AI/ML service {#configure-data-discovery-patterns__ul_hjr_fch_cgc} |
   [Tabelle : 1. Data Discovery job fields]

   {#configure-data-discovery-patterns__table_tgp_2pb_grb}
4. Select Submit.
   * The Test button enables you to test your regular expression before submitting the data pattern list.
   {#configure-data-discovery-patterns__choices_pq1_dp3_3xb}

The data pattern must be set as active to be used with scheduled jobs.

5. Navigate to System SecurityData DiscoveryActive Data Patterns.
6. In the Data Discovery Active Pattern list, select Edit.
7. Select the pattern list from Available Lists and move it to Selected Lists.