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.

This article explores a novel architecture that combines self‑supervised multimodal retrieval‑augmented generation, federated edge AI, and differential privacy to continuously evolve compliance ontologies in real time, ensuring accurate evidence mapping across multi‑cloud environments.