How AuditTrue supports organizational alignment with EU data protection requirements for AI systems.
Disclaimer: This page is for informational purposes only and does not constitute legal advice. AuditTrue is not a law firm. Consult qualified legal professionals for compliance decisions.
The General Data Protection Regulation (GDPR) sets the global benchmark for data protection. For organizations deploying AI systems that process personal data, GDPR requirements around data minimization, purpose limitation, transparency, and individual rights create specific compliance obligations.
GDPR requires DPIAs for processing that presents high risks to individuals — which includes many AI systems. AuditTrue's risk assessment engine provides structured DPIA templates with automated risk scoring, helping you identify and document data protection considerations.
Articles 13-14 require clear disclosure of automated decision-making and profiling. Article 22 grants individuals the right not to be subject to solely automated decisions. AuditTrue helps document model logic, feature importance, and decision rationale to support transparency obligations.
GDPR's data minimization and purpose limitation principles apply directly to AI training and inference data. AuditTrue helps catalog data sources, document processing purposes, define retention policies, and implement access controls.
AuditTrue provides documentation and governance tools that support GDPR compliance obligations for AI systems. We help organizations map their AI processing to GDPR requirements and maintain the records necessary to demonstrate accountability. Data protection impact assessments, compliance documentation, and privacy-by-design reviews are core platform capabilities.
