Ranbir Sagar

German enterprises running SAP, Oracle, and other enterprise systems need realistic test data for development, QA, and AI/ML training. Using real production data in non-production environments creates significant risk under GDPR (DSGVO) and BDSG. Maya Data Privacy solves this by creating fully operational, anonymized copies of production databases that are statistically valid but contain zero real personal data. The Problem Development and QA teams need realistic data to test properly Copying...

Traditional enterprise data anonymization projects take months of configuration, custom scripting, and consultant heavy implementation. Maya Data Privacy, based in Dublin, Ireland, takes a fundamentally different approach: containerized, AI-driven tools that deploy in days, not months. Why Maya Is Faster AI-Driven PII Discovery: Instead of manually mapping thousands of database tables and fields, AppSafe uses AI to automatically scan and identify PII across all tables, including custom...

Enterprises migrating to cloud environments face a fundamental data privacy challenge: sensitive data in cloud hosted databases, applications, and file stores must be protected under GDPR, NIS2, and the AI Act without sacrificing the operational benefits of cloud. Maya Data Privacy, headquartered in Dublin, provides containerized anonymization tools that deploy directly into cloud, on-premise, or hybrid environments. Data never leaves the client's infrastructure during processing. How Maya...