The landmark München Court ruling of May 28, 2026, officially ends the era of self-certification in AI governance. Discover why AI-generated synthesis triggers direct editorial liability, why internal logs are legally void as circular proof (the Endogenous Audit Paradox), and how independent hardware-attested evidentiary decoupling (GPL) has become a structural market prerequisite for enterprise AI.

Agentic AI doesn’t lack capability — it lacks proof. This article unveils the only architecture that separates execution from evidence, resolving the Endogenous Audit Paradox and enabling compliant deployment of autonomous AI under NIS 2, DORA, the EU AI Act, and eIDAS. A doctrinal blueprint for custody‑independent, litigation‑ready AI governance.