FAQs for Governing Data Use

Find answers to common questions about governing data use, including discovering data assets and mapping data flows.

What is the difference between Data Discovery and Targeted Data Discovery (TDD)?

The module, OneTrust Data Discovery, is for discovering data that is unknown or has no known location. The market solution, TDD, is for targeted data searches across catalog sources. TDD does not leverage performance-based searches; instead, it knows all existing tables, data sources, etc., to look for and retrieve back to the application.

What is the process used by OneTrust to scan data sources?

After a worker node is deployed, connected data sources begin a catalog scan. This helps identify the data structure and alerts the system to the types of files in the source. Then it scans, first starting at the data element level. Once the data is profiled, metadata is sampled. For more information, see Data Discovery Architecture Overview.

How is data pulled in and stored by OneTrust as part of the process?

Data is performed in memory, purely ephemeral. Once processed, the data is dropped, and metadata is populated in the cloud. Customers can dictate whether data persists based on custom classifiers or data sources.

What are the architectural requirements to scan structured data sources?

Data Discovery requires a deployed worker node for worker-node scans. The worker node uses the applicable data source connector and the source's native mechanisms to perform scans. For more information, see the Worker Node Management and Deployment Guides sections in the Data Discovery Knowledge Base.

When accessing data sources, what level of access does OneTrust require?

Data Discovery typically requires read-only access, but the required permissions depend on the data source. For databases, grant access to the schemas and users required to cover the intended scan scope. For SaaS products, configure OAuth-based access with the appropriate read-only permissions where supported.

Where are credentials maintained?

Credentials are stored on the worker node, which is protected by your established security controls.

What is an inventory?

An inventory is always the most up to date information about a processing activity or asset or vendor. It is your evergreen record. The data stored in the inventory is used to create visuals and reports for regulators, so keeping it up-to-date is important.

What is personal data?

Personal data is any information related to an identified or identifiable natural person. It is the information on individuals that can be collected, stored, or shared.

What is the difference between Inventory and Object records?

Inventory records (such as processing activities, Assets, Vendors, and Entities) are used to document and manage your organization’s data landscape. These records are designed to capture detailed information, support reporting, and be populated and updated through assessments.

Object records (such as Projects or AI Systems) are used to organize and provide context for related records across modules. For example, a Project can group together multiple inventory records and link them to assessments and workflows.

Object records do not behave the same as inventory records. For example:

  • Object records are not used as primary records of processing or data mapping.

  • Object records do not support the same level of data capture and reporting as inventory records.

  • Object records may require object-specific question types in assessment templates rather than inventory question types.

You should use inventory records to capture and maintain your data (for example, Processing activities, Assets, or Vendors) and object records to provide context, group related items, or track initiatives (such as projects), rather than as a replacement for inventory records.

What is the difference between legal entities and vendors?

Vendors represent the third party service providers whereas legal entities could represent either internal organizations or external organizations that aren’t necessarily service providers/vendors but could be involved in data processing activities.

For capturing third party vendors/service providers, we recommend using the vendors module and linking vendors to your processing activity records as the vendor module has very specific functionality designed for handling contracts and identifying risks associated with third parties.

Note:

For example, if you have a third party vendor/service provider that you are sharing/sending data to as a part of a processing activity, you can link or relate that vendor to the processing activity with the 'destination/access' link type.

What gets plotted on the diagram?

The lineage diagram displays data subject types linked to a processing activity. It also shows swim lanes for assets, vendors, and entities linked to the processing activity as source/collection, storage/processing, or destination/access. Parties with access are populated by the processing activity attribute.

Will updates to the diagram affect my inventory relationships?

No. Manual updates to the diagram will not update the underlying data or relationships. Relationships and data must be modified directly on the processing activity itself.

Does the diagram update automatically after an assessment is submitted or the inventory is edited?

Editing an inventory or submitting an assessment does not automatically refresh the diagram. You can generate an updated diagram by clicking the Auto Draw button, which will reflect the most recent changes.

Is it possible to launch an assessment for all inventory records in bulk?

Yes, from the inventory screen, use the check box to select multiple inventories or multiple inventories across pages to bulk launch assessments.