Most enterprises cannot prove control over the AI systems influencing their most important decisions. Governance frameworks define intent. They do not demonstrate control.

I built the independent assurance infrastructure that closes that gap.

183,924 evaluations across 32 models from 13 providers. 33 published papers across two citable DOIs. The headline finding: every model tested accepted false authority claims at every temperature. Architectural. Temperature invariant. No governance framework resolves it.

Independently corroborated by four external sources including a NeurIPS 2026 geometric prediction from Dynamis Labs without prior knowledge of the dataset.

The research has direct implications for EU AI Act compliance, sovereign AI deployment, and enterprise AI governance at board level.

Published under DOI: 10.17605/OSF.IO/DXGK5 and DOI: 10.5281/zenodo.20386024