This article explores a novel AI‑powered ledger that records, attributes, and validates evidence for every vendor questionnaire response in real time, delivering immutable audit trails, automated compliance, and faster security reviews.

This article introduces a self‑learning prompt‑optimization framework that continuously refines large‑language‑model prompts for security questionnaire automation. By combining real‑time performance metrics, human‑in‑the‑loop validation, and automated A/B testing, the loop delivers higher answer precision, faster turnaround, and auditable compliance—key benefits for platforms like Procurize.