Ben Ramhofer

Our purpose-built PIIDetect catches 91.2% of PII in SAP vs. 66.4% for SAP RPT-1 OSS — and runs 34× faster on CPU. The benchmark, and why specialization wins.

SAP landscapes contain highly sensitive personal data: customer master data, employee information, contract data, and payment information. As soon as this production data is copied into test, training, or development environments, a massive GDPR risk arises. Article 25 of the GDPR requires privacy by design. However, many companies fail to implement end-to-end application data anonymization in SAP landscapes. The consequence: Personal data in unprotected non-production systems. Access by...

German banks, insurance companies, and financial institutions face some of the strictest data protection requirements in Europe. In addition to GDPR (DSGVO) and BDSG, BaFin-regulated entities must comply with DORA (Digital Operational Resilience Act) and MaRisk requirements for IT risk management. Maya Data Privacy provides AI-driven anonymization tools that help financial institutions meet these requirements at the data layer. Regulatory Landscape for German Financial Services GDPR (DSGVO)...