Automate your GDPR compliance
The 2026 challenge: why traditional methods are no longer enough
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The rise of shadow data and AI: With the rapid adoption of generative AI, personal data and PII can move across systems with limited control. Without visibility into the data flows feeding your models, exposure risk increases fast.
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Real-time audits: Regulators now expect instant evidence of traceability and accountability. Static annual reports are no longer enough to demonstrate compliance with confidence.
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The limits of Excel: Manually documenting processing activities is time-consuming, error-prone, and exposes your business to financial penalties as well as a loss of customer trust.
Benefits for your organization
Audit-ready confidence
40% productivity gain
Faster innovation
Trust and competitive edge
Data lineage and complete traceability
Visualize how personal data moves across your systems, from source applications to analytics and AI use cases.
Lineage helps teams quickly identify impacts, dependencies, and transformations applied to sensitive data.
Governed data catalog
Centralize business definitions, classifications, governance rules, and ownership in a collaborative catalog.
Teams can quickly access data that is documented, approved, and enriched with the right business context.
Sensitive data classification and detection
Our rules engine scans your environments to identify and automatically tag personal data. Smart classification helps reduce shadow data by locating local copies, forgotten databases, and critical information that may be insufficiently secured.
A collaborative workspace for DPO and tech teams
Create a shared language between legal definitions and the technical tables and columns managed by IT. With built-in validation workflows, you can control access to sensitive data and empower Data Stewards through clearly defined governance roles.
Automated documentation
Reduce manual work by automating metadata collection and data asset documentation.
Governance stays aligned with real changes across your information system, so your compliance evidence remains current and reliable.
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FAQs
- How do healthcare organizations ensure data compliance while unlocking clinical value?
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Healthcare teams handle vast, sensitive datasets — from EHRs and PHI to genomics and clinical trials. DataGalaxy supports HIPAA-aligned governance through glossary-driven documentation, metadata controls, and traceability across systems, while enabling compliant reuse of real-world evidence (RWE).
See how Malakoff Humanis built scalable governance across regulated healthcare and insurance data systems.
👉 Want to see how this applies to your organization? Contact us for a tailored walkthrough. - Is data governance just about compliance?
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No — while compliance is critical, governance also improves data quality, team collaboration, trust in reports, and decision-making. It’s about creating a foundation for value creation, not just risk reduction.
? Want to go deeper? Check out:
https://www.datagalaxy.com/en/blog/data-governance-for-new-eu-ai-act-compliance/ - How can I ensure compliance with data regulations like GDPR, HIPAA, or ESG?
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When regulations tighten, your metadata better be ready.
Think GDPR, ESG, HIPAA, BCBS 239 — every compliance standard demands clarity on where sensitive data lives, how it flows, and who’s responsible for it.
DataGalaxy gives governance teams the metadata backbone to support audits, regulatory reporting, and privacy-by-design at scale.
👉 – Map sensitive data and tag it with classifications like PII
👉 – Track lineage and movement of regulated assets
👉 – Enforce policy through ownership, documentation, and rules
👉 Facing this challenge? Explore the solution
👉 Want to see it live? Book a tailored demo - How does the catalog support governance and compliance?
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It includes lineage, impact analysis, ownership tracking, and policy management — all mapped to your data assets. That means better traceability, audit readiness, and confidence in data-driven decisions.