This article explores the emerging multi modal AI approach that enables automated extraction of textual, visual, and code evidence from diverse documents, accelerating security questionnaire completion while maintaining compliance and auditability.

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.