GDPR
The General Data Protection Regulation is the European Union regulation for personal-data protection. It is not a technology certification, but buyers often assess data platforms against GDPR principles and operational requirements.
Buyer question
“Can WWKG help us control, minimize, trace, and protect personal data?”
WWKG fit
| Assessment area | WWKG fit | Status |
|---|---|---|
| Confidentiality | End-to-end encrypted workspaces reduce exposure to cloud providers, relays, and storage operators. | Native fit |
| Access control | Workspace membership and key rotation provide a strong technical boundary for who can read future data. | Native fit |
| Accountability | Signed commits, provenance, branch history, and events provide evidence of data changes and access governance. | Native fit |
| Minimization | Scoped workspaces and queryable graph boundaries support minimization, but policy design remains customer-specific. | Partial fit |
| Data-subject rights | WWKG can store evidence and provenance, but deletion, portability, rectification, and retention workflows require customer policy and product workflow coverage. | Partial fit |
What WWKG can say
WWKG helps GDPR-oriented teams by making personal-data governance explicit and queryable:
- Sensitive data can live in encrypted workspaces.
- Membership controls who can read workspace content.
- Branches isolate corrections, imports, and review work.
- Provenance records who changed data and when.
- Validation rules can enforce required fields, classification, or governance metadata.
- Catalog metadata can describe access rights, purpose, and quality.
Assessment boundary
GDPR compliance depends on lawful basis, notices, contracts, records of processing, retention policy, data-subject workflows, security operations, and jurisdiction-specific legal analysis.
WWKG supplies technical controls and evidence that can support a GDPR program, especially around confidentiality, access boundaries, provenance, and data-governance metadata.