Compliance

Why enterprises blame GDPR for an engineering problem they built themselves, and how privacy-ready data architecture actually accelerates AI Key Takeaways: The primary blocker to enterprise AI adoption is poor data architecture, not GDPR or the EU AI Act. Organisations with mature data governance report significantly fewer compliance-related delays in AI projects. Privacy-ready data architecture requires three capabilities: discovery, lineage, and automated classification. Pr

€1.77B in GDPR fines across 10 companies — and 9 out of 10 were preventable. We break down the largest GDPR penalties of 2024–2025 and show how data anonymization would have stopped most of them.

Enterprises store most of their sensitive data in unstructured documents. Without automated anonymization, that data is a compliance liability. Learn how Maya FileSafe solves this at scale.

Maya Data Privacy was present at the India AI Impact Summit 2026 in New Delhi, one of the largest AI gatherings ever held. Here is what we saw, what we demonstrated, and why it matters for the future of responsible AI.

Most enterprises running SAP S/4HANA or ECC have real production data sitting in their QA systems. Here is how to anonymize SAP test data correctly, preserving referential integrity across all systems, and why Maya AppSafe™ is the strongest solution available today.

Enterprises are sitting on a goldmine of data — but 80% of it never reaches an AI model. The reason is privacy. The fix is anonymization. Here is how leading organizations are unlocking their most sensitive data for AI, safely and compliantly.

The EU AI Act's most critical enforcement date is less than six months away. On August 2, 2026, the requirements for high-risk AI systems under Annex III become fully enforceable. Penalties for non-compliance can reach up to 35 million euros or 7% of global annual revenue. Yet most enterprises are not ready. According to Gartner, organizations will abandon 60% of AI projects by 2026 due to a lack of AI-ready data. The gap between AI ambition and data readiness has never been

ISO 27001 proves our security framework is robust by design. SOC 2 Type II proves it works in practice. Together, they give enterprises the double layer of trust they need in an AI-driven world.

Compliance isn't a checkbox — it's a currency of trust. Maya is now ISO 27001:2022 certified, giving enterprises regulator-ready proof that their data privacy is world-class.

Twenty years of healthcare innovation in Mecklenburg-Vorpommern — and the conversation is more urgent than ever. Here's what Maya took away from Rostock on health data, AI, and European collaboration.