Re-identification remains a major privacy threat, and anonymization is still complex and judgment-heavy. In this session, we share how we built the Anonymization Copilot, an LLM-powered assistant that helps privacy teams apply anonymization best practices aligned with global regulations. We’ll cover how we integrated threat modeling into its design, used RAG and prompt engineering, and created an evaluation framework to ensure transparency, accuracy, and risk control.