Our latest white paper, “Mapping Global AI Governance Frameworks Towards a Unified Risk-Based Approach,” shows how organizations can move beyond fragmented regulations and build a coherent, defensible, and scalable AI governance model.
This research explains how a risk-based meta-governance approach can unify these frameworks, allowing organizations to:
- Map controls once.
- Reuse compliance evidence.
- Align ethics, risk, and operations.
- Remain agile as regulations evolve.
It also introduces a four-layer governance architecture that turns regulatory complexity into structured, auditable, and enterprise-ready AI governance.