Discover how Procurize leverages continuous knowledge graph synchronization to align security questionnaire answers with the latest regulatory changes, ensuring accurate, auditable, and up-to-date compliance responses across teams and tools.

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 %.