This article explores a novel architecture that combines generative AI with blockchain‑based provenance records, delivering immutable, auditable evidence for security questionnaire automation while maintaining compliance, privacy, and operational efficiency.

Organizations handling security questionnaires often struggle with the provenance of AI‑generated answers. This article explains how to build a transparent, auditable evidence pipeline that captures, stores, and links every piece of AI‑produced content to its source data, policies, and justification. By combining LLM orchestration, knowledge‑graph tagging, immutable logs, and automated compliance checks, teams can provide regulators with a verifiable trail while still enjoying the speed and accuracy that AI delivers.