This article explores a novel approach that combines large language models, live risk telemetry, and orchestration pipelines to automatically generate and adapt security policies for vendor questionnaires, reducing manual effort while maintaining compliance fidelity.

This article introduces a novel architecture that combines self‑supervised learning on edge devices with dynamic knowledge graph evolution, enabling real‑time compliance monitoring, automated policy enforcement, and zero‑latency insights for regulated enterprises.