In a world where vendor risk can change in minutes, static risk scores quickly become obsolete. This article introduces an AI‑driven continuous trust score calibration engine that ingests real‑time behavioral signals, regulatory updates, and evidence provenance to recompute vendor risk scores on the fly. We dive into the architecture, the role of knowledge graphs, generative AI‑based evidence synthesis, and practical steps to embed the engine into existing compliance workflows.

This article explores the design and benefits of a dynamic trust score dashboard that fuses real‑time vendor behavior analytics with AI‑driven questionnaire automation. It shows how continuous risk visibility, automated evidence mapping, and predictive insights can cut response times, improve accuracy, and give security teams a clear, actionable view of vendor risk across multiple frameworks.