This article introduces a novel architecture that combines continual‑learning graph neural networks with federated data pipelines to deliver real‑time, multi‑regulatory compliance risk forecasts. It covers the technical foundations, system design, security guarantees, and practical deployment tips, helping enterprises stay ahead of regulatory change while preserving data privacy.