Data protection by design and by default, a key principle of the EU GDPR, remains inconsistently implemented nearly a decade after its adoption, requiring organizations to consider four main factors—state of the art, cost of implementation, processing context, and risks to individuals—for effective compliance. In 2026, evolving technologies and regulations, especially concerning AI, demand a dynamic, risk-based approach that integrates ongoing assessment and adaptation of technical and organizational measures from the system design stage through deployment to safeguard personal data and uphold individuals' rights.
