---
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


---

# Data Discovery job results

# Data Discovery job results {#ariaid-title1}

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

The Data Discovery Findings page shows details on the data found by a job. You can use the Findings page to review the results of a job and begin classifying data.

The Data Discovery Findings page displays the following details after a completed job.  
{#data-discovery-findings__table_p25_fpb_hxb__entry__2}

| Column | Description |
|-|-|
| Dictionary Entry | Column of the target table where the data was |
| Table | Target table where the data was found |
| Data Pattern | Data pattern used to find the data |
| Data Pattern Match Count | Number of data entries that match the data pattern |
| Total Row Scan Count | Number of rows scanned during the job |
| Percentage of Matching Rows | Percentage of rows in the target table that match the data pattern |
| Data Discovery Job | Job used on the target table |
| Status | Status of the entry |
[ ]

{#data-discovery-findings__table_p25_fpb_hxb}
After you run a Data Discovery job, the results have a status of New. If no action is necessary, you can leave the data alone, which automatically sets the status to Ignored. Otherwise, you can classify the data, such as by
creating user-defined data classifications, to prepare for data anonymization using the [Data Classification](https://servicenow-prod.fluidtopics.net/lTzMDApKb~I4lO2wqMzTBA "Group data by type, using pre-defined or user-defined data classifications. If you have an assigned data classification administrator or auditor role, you can administer different data classes or visually analyze the current state of different types of data within the instance.") tool.

## Granular Findings {#data-discovery-findings__section_ths_tyt_dcc}

Users may select the Track Granular Findings action to use the [Granular Findings](https://servicenow-prod.fluidtopics.net/k84prP_xpF1GF~Zly96Jqg "Granular findings may be reviewed using the Granular Findings tool.") page to take action on specific discovered records. See [Granular Findings](https://servicenow-prod.fluidtopics.net/k84prP_xpF1GF~Zly96Jqg "Granular findings may be reviewed using the Granular Findings tool.") for more information.

## Available Protections {#data-discovery-findings__section_rvp_fz3_1cc}

Select the Available Protections button to review an entries control service, status, notes, and last check in. As of Xanadu this feature supports only [Field Encryption](https://servicenow-prod.fluidtopics.net/Otsq~ulOZ2gNfoEXMogG0g "Protect encrypted data on your instance from unauthorized users, scripts, or system processes using Field Encryption.").

Protecton services can also be accessed from the Dashboard. For more information on the dashboard see, [Data Discovery](https://servicenow-prod.fluidtopics.net/tszcNpHJTeT8VgXC87VCZA "Use Data Discovery to identify sensitive data within an instance, such as credit card information, emails, or social security numbers.").

## Consolidate findings {#data-discovery-findings__section_kp4_bfx_hzb}

Job results can be consolidated using the Consolidate Findings button. Job results shared between two separate jobs will then be consolidated under the most recently run job.  
Hinweis:  
Only finished full scan jobs may be consolidated

## Classify data in the Data Discovery job results page {#ariaid-title2}

Classify data in Data Discovery directly from a job's results page.

### Vorbereitungen

Role required: data_discovery_admin and admin

A job must complete a successful run before any result data can appear to be classified.

### Prozedur

1. Go to System SecurityData DiscoveryData Discovery Job.
2. Select the entry that you want to classify.
3. In the Data Discovery Findings list, select Classify.
4. Select the data classifications that you want to associate with the table entries.
5. Select Classify.