Eliminate GDPR Violations: Privacy-Preserving AI

GDPR Art. 25 & 35: Anonymization & Pseudonymization to Fortify Data Privacy Defenses

Data & Model Trust

Service Description

This technical implementation and advisory service focuses on integrating GDPR-compliant data handling practices into your AI lifecycle, including Data Protection by Design and by Default. We advise on and help implement techniques for anonymization, pseudonymization, and the secure processing of personal data.

Regulatory Alignment & Compliance

This is in line with GDPR Article 25 (Data protection by design and by default), Article 32 (Security of processing), and Article 35 (Data protection impact assessment - DPIA).

Key Outcomes & Deliverables

Implemented Privacy-Enhancing Technologies (PETs) such as federated learning, differential privacy, homomorphic encryption, or secure multi-party computation, integrated into the AI lifecycle to minimize personal data exposure and ensure GDPR compliance.

Service Details

Category

Data & Model Trust

Industry Tags

Generic

Contribution Tags

Data GovernanceSystem ArchitectureMLOps

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