This article defines the evidentiary boundary of autonomous AI intent and introduces the Intent Seal — the pre‑execution proof that turns Operational Intent into a judicial fact.

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.

The distinction between a trace and a proof is not technical. It is jurisdictional. Most organisations generate traces. Very few produce legally opposable proof. SOURCE 0 closes this gap at T‑0, transforming digital records into evidence that carries a legal presumption of integrity.

Autonomous AI agents operating at sub-millisecond latency have created a structural uninsurability crisis. Classic cyber-insurance actuarial models are fundamentally incompatible with the probabilistic, compounding drift of agentic systems. Post-execution SIEM and EDR logs constitute non-opposable self-reporting under NIS 2, DORA, and eIDAS 2, enabling insurers to invoke the Post-Execution Fallacy to deny coverage. The SOURCE 0 Governance Proof Layer (GPL) resolves this framework exposure by decoupling the infrastructure of processing from the infrastructure of proof.