This paper introduces the concept of Cognitive Containment Regime (CCR) localization and examines how organizations increasingly substitute lock-based containment for legitimate, scoped STOP authority as automation and optimization systems accelerate. The paper identifies two dominant lock-based failure regimes—Total System Lock (TSL) and Emergency Containment Regime (ECR)—and analyzes their progression toward economic disruption, human exclusion, and jurisdictional override. It further proposes the Minimum Authorization Invariant (MAI) as a domain-agnostic condition necessary for maintaining lawful control under rising autonomy. The framework is conceptual rather than operational and is intended to apply across software systems, automation platforms, critical infrastructure support systems, cybersecurity environments, and other high-consequence domains. The paper does not propose architectures, controls, or implementation mechanisms; instead, it defines structural boundary conditions associated with authorization failure and lock substitution. Keywords: Artificial Intelligence, AI Governance, Automation, Authorization, Stop Authority, Organizational Failure, Systems Safety, Autonomous Agents, Risk Management, Governance.