This article introduces a novel AI‑driven compliance persona simulation engine that creates realistic, role‑based responses for security questionnaires. By combining large language models, dynamic knowledge graphs, and continuous policy drift detection, the system delivers adaptive answers that match the tone, risk appetite, and regulatory context of each stakeholder, dramatically reducing response time while preserving accuracy and auditability.