SOURCE 0 - EVIDENTIARY DECOUPLING OF AUTONOMOUS AGENTIC AI IN EU-REGULATED MARKETS
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.
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.
SOURCE 0 : THE PARADOX OF ASYMMETRY KINETICS (PAK)
The Paradox of Asymmetry Kinetics (PAK) exposes the structural breakdown of traditional AI oversight. While multi-agent networks operate at sub-millisecond silicon speed, human and legal frameworks react in days or weeks. Discover how the SOURCE 0 Doctrine solves this catastrophic temporal gap by deploying a dedicated Governance Proof Layer (GPL)—decoupling operational infrastructure from undeniable, pre-execution cryptographic proof.
SOURCE 0 - THE GOVERNANCE PROOF LAYER
The Missing Evidentiary Standard in European Regulation. Modern enterprise architecture has a structural blind spot. While frameworks like AMLR, the AI Act, DORA, and NIS2 demand absolute proof of compliance, traditional operational systems only produce vulnerable, post-hoc logs.
Discover how the Governance Proof Layer (GPL) instantiated by SOURCE 0 introduces a dedicated, hardware-enforced infrastructure layer—decoupling processing from forensic proof to secure human-in-the-loop decisions strictly prior to execution.

