This article introduces a novel edge‑native, self‑supervised knowledge‑graph engine that continuously evolves compliance data across heterogeneous cloud platforms. By combining federated learning, zero‑knowledge proof verification, and streaming event ingestion, organizations can achieve real‑time policy enforcement, auditability, and risk scoring without sacrificing data privacy or latency. The guide covers architecture, core algorithms, deployment patterns, and best‑practice recommendations for building a resilient, scalable compliance fabric in today’s multi‑cloud world.