This article explores a novel self‑learning evidence mapping engine that combines Retrieval‑Augmented Generation (RAG) with a dynamic knowledge graph. Learn how the engine automatically extracts, maps, and validates evidence for security questionnaires, adapts to regulatory changes, and integrates with existing compliance workflows to cut response time by up to 80 %.

Modern SaaS teams drown in repetitive security questionnaires and compliance audits. A unified AI orchestrator can centralize, automate, and continuously adapt questionnaire processes—from task assignment and evidence gathering to real‑time AI‑generated answers—while maintaining auditability and regulatory compliance. This article explores the architecture, core AI components, implementation roadmap, and measurable benefits of building such a system.