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BOOSTING DATA PRIVACY AND SECURITY: ADVANCED ANONYMIZATION AT THE GARTNER SUMMIT WITH NYMIZ

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anonymization-privacy-data-masking-nymiz

ANONYMIZATION: THE KEY STRATEGY TO REDUCE COSTS AND OPTIMIZE DATA COLLECTION

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SYNTHETIC PUBLIC DATA: EFFECTIVE SOLUTION FOR PRIVACY PROTECTION

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HOW SYNTHETIC DATA CAN PREVENT PRIVACY BREACHES

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SYNTHETIC DATA: THE KEY TO PROTECTING PRIVACY IN THE AGE OF AI

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data-redaction-ai-nymiz-privacy-anonimization

Evolving threat landscape: Adapting data redaction through AI to counter emerging privacy risks

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PROTECTING SENSITIVE DATA UNDER THE GDPR: WHAT YOU NEED TO KNOW TO COMPLY WITH PRIVACY

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DATA MASKING IN THE AGE OF AI: PROTECTING PRIVACY EFFICIENTLY

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WHICH ONE IS FOR YOU? TRADITIONAL DATA MASKING METHODS VS. AI DATA MASKING TOOLS

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Proyecto DAIWo: DISTRIBUTED ARTIFICIAL INTELLIGENCE WORKFLOW (ZL-2024/00040)

Financiado por el programa de ayudas HAZITEK 2024 del Departamento de Industria, Transición Energética y Sostenibilidad del Gobierno Vasco y de la Unión Europea (FEDER).