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Using Swiss secret data for AI-driven analytics without exposing sensitive data

Using Swiss secret data for AI-driven analytics without exposing sensitive data

This use case illustrates how Mage Data empowered a Swiss bank to securely share sensitive financial data with a third-party provider while adhering to stringent Swiss data protection regulations. Through the implementation of a secure data transfer gateway, context-preserving encryption, and versatile format support, Mage Data ensured seamless data anonymization and compliance with global data protection laws, including GDPR and CCPA. The bank’s ability to securely exchange files, re-identify transformed data accurately, and maintain data integrity throughout the process reinforced its reputation as a trusted financial institution. This case study showcases how Mage Data’s solutions address complex data security challenges, helping Swiss banks meet regulatory demands while enhancing operational efficiency.

#DataMasking #ContextPreservingEncryption #TestingData