Data Discovery

The application installs Data Discovery and related ServiceNow Store applications and plugins if they aren't already installed.

Use parallel jobs to reduce your Data Discovery job execution time.

Classify sensitive data found by all successful jobs through Data Discovery Findings.

Configure a Data Discovery job and review the status of ongoing jobs. A Data Discovery job defines when a pattern is executed on a target table.

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.

Add a target tables to be used in Data Discovery jobs. Only target tables will be scanned for data patterns.

Create a Data Discovery Policy for granular control over your Data Discovery jobs.

Attachment scanning in Data Discovery enables you to scan, discover, and report on sensitive data in file attachments.

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.

Data Discovery reviews your targeted information using user-defined data patterns and target tables.

Use Data Discovery to identify sensitive data within an instance, such as credit card information, emails, or social security numbers.

Use Data Discovery policies to scan specific tables and enable column based jobs.

You can assign Data Discovery roles to limit user access to certain data types.

Check which field types are supported when using Data Discovery.

Use Data Discovery to identify sensitive data within an instance, such as credit card information, emails, or social security numbers.

Select the active data patterns to be used for Data Discovery jobs.

Scan specific table columns in Data Discovery Store.

Create a new Data Discovery store pattern.

Create and schedule a new Data Discovery Store job.

Discover and track sensitive data within a ServiceNow instance

Create a Data Discovery policy to begin scanning tables for data patterns.

Get visibility into sensitive data on your instance and work towards implementing security measures to prevent loss or exposure of sensitive data.

Use Data Discovery policies to define what sensitive data patterns should be identified and how they should be handled.

Review attachment findings in Data Discovery Store

Classify data in Data Discovery Store

Review granular findings in Data Discovery Store

Set up and schedule data discovery jobs to scan your instance for sensitive information.

Select target tables to be used in discovery jobs.

Create, and select the data patterns to be used in Data Discovery, and what tables to scan.

Review the default data patterns included in Data Discovery.

Use Named Entity Recognition (NER) based discovery to help discover sensitive data that does not follow fixed patterns.

Granular scan can be used to scan specific table columns for discovery. Traditional Data Discovery jobs scan the entire table to discover data, whereas granular scan targets specific columns of the table thereby offers more control over the discovery process

Granular findings may be reviewed using the Granular Findings tool.

When errors occur during regex generation or testing, Text to RegEx displays an error message to help you understand what went wrong and how to resolve the issue.

Text to RegEx requires specific licenses to be active in your instance and relies on the Now Assist for Vault plugin. This reference describes all licensing requirements you must meet to use Text to RegEx.

Use the Generate Regex button and modal in the classic UI to automatically create a regular expression from a text description.

Use the Text to RegEx feature in the discovery UI to automatically generate a regular expression from a natural language description of the pattern you need.