What question did this study set out to answer?

The aim is to develop a comprehensive containment architecture for advanced AI systems, integrating security, governance, and drift control.

April 10, 2026Open Access

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

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Framework unifies drift detection, governance, and runtime control in frontier-class AI systems, suggesting improved security measures.

The aim is to develop a comprehensive containment architecture for advanced AI systems, integrating security, governance, and drift control.
Developed Mythos-Class Containment Architecture (MCCA) with eight specialized layers.
Unified attractor-geometry-based drift detection using the Unified Attractor Grammar (UAG).
Established governance structures through Constitutional OS.
Implemented runtime curvature monitoring and enforcement via CARE.
Created a cross-model verification system for oversight.
MCCA provides a detailed threat model for each layer.
Achieved formal integration of governance and drift detection mechanisms.
Introduced the two-pilot cockpit for enhanced epistemic oversight of model intent.

zetta byte (2026) studied this question.

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