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Data Protection Plus

Closed beta: Data Protection Plus is in closed beta and is only available in select regions.

This feature is part of VTEX Shield, meaning additional fees may apply.

If you are already a VTEX customer and want to adopt VTEX Shield for your business, please contact Commercial Support.

If you are not yet a customer but are interested in this solution, please complete our contact form.

The VTEX platform allows stores to process shoppers' Personal Identifiable Information (PII) in compliance with data privacy regulations such as GDPR and LGPD.

When using Data Protection Plus, accounts follow the PII data architecture, where all PII is stored in the Profile System. Other VTEX modules, such as Order Management and Checkout, store only pseudonymized data associated with a Profile System token. These modules may also access PII from the Profile System, as described in the PII data architecture specifications.

See the Trust Hub to learn more about VTEX's vision regarding data privacy, including certifications, internal policies and commitments.

Solutions and implementation

VTEX has established a comprehensive PII data architecture that incorporates a range of solutions and processes for PII. See the documentation below to learn more about how it works and how to implement it.

Parties' responsibilities

VTEX isolates and protects all fields classified as sensitive. However, it is important to acknowledge that there are scenarios beyond VTEX's control. In such cases, as a VTEX client, it is the store's responsibility to ensure the integrity of your integrations and prevent any data misuse. The main scenarios to consider include:

  • Sending PII in custom or text fields.
  • Adhering to IO apps that depend on or consume PII data.
  • Integrating with third-party systems that consume PII data, such as ERPs.
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See also
PII Data Architecture specifications
Guides
Data residency
Guides
Changes in VTEX features behavior to handle PII data
Guides
Profile System integration
Guides
Limitations of the PII data architecture during closed beta
Guides
Erasing customer data
Guides
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