Dataintegritet och skydd

Comprehensive data governance frameworks and technical controls ensuring AI systems handle personal and sensitive data in compliance with privacy regulations and organizational policies. We implement privacy-preserving techniques including differential privacy, federated learning, encryption, and anonymization. Our approach includes data minimization, purpose limitation, consent management, and retention policies. We establish data access controls, audit logging, and breach response procedures. Privacy impact assessments evaluate risks before system deployment. Technical measures include secure data pipelines, encrypted storage, and access controls. This ensures GDPR, CCPA, and sector-specific compliance, builds customer trust, reduces breach risks, and enables AI development while respecting privacy rights and maintaining data security throughout the AI lifecycle.