Privacy Café & Insights

Compare data anonymization tools for AI: techniques, LLM/RAG placement, evaluation criteria, and GDPR/HIPAA limits without overclaiming.

A practical method for testing PII detection: labelled test sets, strict entity-level scoring, per-type recall targets, edge cases, threshold tuning and regression checks.

Learn how to choose an AI privacy solution for enterprise data: map workflows, pick a deployment model, set requirements, question vendors and run a real POC.

Government agencies can use AI without exposing citizen records. Learn data minimization, anonymization, deployment choices and procurement questions.

Five practical tips to protect user and developer identities when vibe coding: secrets, database rules, agent access, code review, and anonymization.

AI coding assistants can expose source code, secrets, and IP depending on setup. Learn the real risks, examples, and controls for protecting proprietary code.