In today’s fast‑moving regulatory landscape, static compliance documents quickly become outdated, causing security questionnaires to contain stale or contradictory answers. This article introduces a novel self‑healing questionnaire engine that continuously monitors policy drift in real time, automatically updates evidence, and leverages generative AI to produce accurate, audit‑ready responses. Readers will learn the architectural building blocks, implementation roadmap, and measurable business benefits of adopting this next‑generation compliance automation approach.

This article explores a novel approach that combines generative AI, knowledge‑graph‑driven drift detection, and Mermaid‑based visual dashboards. By turning raw policy changes into live, interactive diagrams, security and legal teams gain instant, actionable insight into compliance gaps, reducing questionnaire turnaround time and improving vendor risk posture.