This article introduces an Adaptive Evidence Attribution Engine built on Graph Neural Networks, detailing its architecture, workflow integration, security benefits, and practical steps for implementation in compliance platforms like Procurize.

This article introduces a novel architecture that combines generative AI, zero‑knowledge proofs, and a self‑healing knowledge graph to validate compliance evidence in real time. It explains the core components, data flow, security guarantees, and practical deployment tips for enterprises seeking auditable, tamper‑resistant compliance automation.

This article explores a novel architecture that fuses zero‑knowledge proofs with generative AI to produce tamper‑proof, privacy‑preserving compliance evidence in real time. By leveraging event‑driven knowledge graphs, blockchain anchoring, and on‑device edge inference, organizations can automate audit trails, reduce manual effort, and meet stringent regulatory demands without exposing sensitive data.