SOURCE 0 - TRUSTED EXECUTION ENVIRONMENTS AS EVIDENTIARY BOUNDARIES FOR AI GOVERNANCE
Trusted Execution Environments seal AI workloads at the silicon level. They do not produce legally opposable evidence. When the operator controls the attestation keys, the Hardware Attestation Report remains endogenous to the system under audit — a structural circularity that no firmware update resolves. SOURCE 0 CERTIFIED closes this gap with an independent Governance Proof Layer: T-0 Capture, SHA-256 hash-chaining, dual-QTSP RFC 3161 timestamping under eIDAS 2, and judicial archiving by a Commissaire de Justice. The result is a Dossier de Réalité Historique directly enforceable across the EU under Brussels I bis — satisfying the ex-ante burden of proof imposed by AI Act Article 99.
SOURCE 0 - THE MÜNCHEN RULING AND THE LIMITS OF SELF-PRODUCED EVIDENCE IN AI GOVERNANCE
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.
SOURCE 0: FIXING THE MARITIME CUSTOMS BLIND SPOT
The 2028 EU Trust & Check customs reform introduces a violent operational risk: the Paradox of Asymmetric Kinetics (PAC). When probabilistic autonomous AI agents manipulate HS classification or valuation at the millisecond layer, traditional post-hoc logging tools (SIEM) fail to protect directors. Discover how the SOURCE 0 architecture enforces Opposability-as-a-Service (OaaS) via T-0 cryptographic hardware isolation and judicial escrow to secure pre-constituted evidence before machine execution.

