This article explores a novel approach where a generative‑AI‑enhanced knowledge graph continuously learns from questionnaire interactions, providing instant, accurate answers and evidence while maintaining auditability and compliance.

This article introduces a novel validation loop that merges zero‑knowledge proofs with generative AI to certify security questionnaire answers without exposing raw data, describes its architecture, key cryptographic primitives, integration patterns with existing compliance platforms, and practical steps for SaaS and procurement teams to adopt the approach for tamper‑proof, privacy‑preserving automation.