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Extreme operational environments can affect cognitive regulation, the control of emotions, and decision-making processes. Although stress-related impairments have been studied extensively, adaptive mechanisms that support functional action when under acute threat have also received increasing scientific attention across several research traditions, including resilience research, stress inoculation, and studies conducted in ecologically valid operational settings. However, these findings remain dispersed across several disciplines, and an integrative conceptual framework specifically addressing those adaptive mechanisms that allow certain professionals to maintain functional action capability under acute threat is still lacking. This concept paper proposes a theoretical framework for understanding adaptive reconfiguration in high-risk professional contexts. Drawing upon the literature of cognitive psychology, stress physiology, military and emergency response research, and behavioral regulation models, this article examines how individuals may maintain operational effectiveness despite intense physiological and emotional stress. The proposed framework distinguishes disorganization/collapse on two other trajectories: threat neutralization, characterized by action capacity that is preserved at the expense of normative control, and an operational-protective trajectory, characterized by regulated action sustained by explicit normative frameworks. This paper introduces the notion of an “operational-protective trajectory” to describe certain forms of regulated action that remain functionally organized under extreme stress exposure. It also discusses the potential operational benefits and psychological costs associated with these adaptive configurations. By integrating findings from multiple disciplinary fields, this article contributes to a better conceptual understanding of decision-making and behavioral adaptation in high-risk environments and highlights the implications for training, operational preparation, and resilience-oriented approaches.