This article introduces a generative AI driven auto‑healing knowledge graph that monitors compliance source changes, validates data freshness, and rewrites affected policy fragments in real time. By integrating continuous data pipelines, LLM‑based remediation, and explainable audit trails, organizations can keep security questionnaires accurate, lower manual effort, and boost stakeholder confidence.

This article explores a novel AI‑driven engine that combines graph neural networks (GNNs) with explainable AI to compute and attribute real‑time trust scores for vendors. By ingesting dynamic knowledge graphs, the system delivers instant, context‑aware risk insights while providing clear, human‑readable explanations that satisfy auditors, security teams, and compliance officers.