Generative AI is rewriting how we handle data, but it also creates a new battlefield for GDPR compliance. Models can memorize personal data. Logs can reveal identifiers. APIs can leak more than expected. Staying compliant is not just about encryption or access control — it’s about embedding privacy into every stage of AI data handling.
GDPR compliance with generative AI starts with knowing exactly what data is being collected, processed, and stored. This means rigorous input sanitization, prompt filtering, and automated redaction of personal identifiers before they reach the model. Data minimization is not optional here. Strip every nonessential attribute before inference. Document every transformation. Set retention policies that the system enforces automatically.
Control doesn’t end at ingestion. AI output must be checked for potential personal data leaks, intentional or accidental. Post-processing filters are critical to avoid re-identification. Maintain audit logs that trace prompt-to-output chains, while ensuring those logs are themselves compliant with subject access and deletion requests.