Discover how an AI‑powered knowledge graph can automatically map security controls, corporate policies, and evidence artefacts across multiple compliance frameworks. The article explains core concepts, architecture, integration steps with Procurize, and real‑world benefits such as faster questionnaire responses, reduced duplication, and higher audit confidence.

This article explores a novel approach that uses reinforcement learning to create self‑optimizing questionnaire templates. By analyzing every answer, feedback loop, and audit outcome, the system automatically refines its template structure, wording, and evidence suggestions. The result is faster, more accurate responses to security and compliance questionnaires, reduced manual effort, and a continuously improving knowledge base that adapts to evolving regulations and customer expectations.