Mythos-Class Containment Architecture: A Unified Framework for Frontier-Model Security, Governance, and Runtime Drift Control

Frontier-class AI systems capable of exploit synthesis, zero-day discovery, and multi-step operational planning require containment architectures that exceed the assumptions of traditional security engineering. We present the Mythos-Class Containment Architecture (MCCA), the first system to formally unify three previously disconnected domains: (1) attractor-geometry-based drift detection via the Unified Attractor Grammar (UAG), (2) formal governance substrates via Constitutional OS, and (3) runtime curvature monitoring and enforcement via CARE. The MCCA consists of eight layers, each with a precise threat model and enforcement mechanism, culminating in a cross-model verification system — the two-pilot cockpit — that provides epistemic oversight of model intent. Note: empirical results are preliminary pending full red-team evaluation (v1.1).