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In a world of ever-increasing systems interdependence, effectivecybersecurity policy design seems to be one of the most critically understudiedelements of our national security strategy. Enterprise cyber technologies areoften implemented without much regard to the interactions that occur betweenhumans and the new technology. Furthermore, the interactions that occur betweenindividuals can often have an impact on the newly employed technology as well.Without a rigorous, evidence-based approach to ground an employment strategyand elucidate the emergent organizational needs that will come with thefielding of new cyber capabilities, one is left to speculate on the impact thatnovel technologies will have on the aggregate functioning of the enterprise. Inthis paper, we will explore a scenario in which a hypothetical governmentagency applies a complexity science perspective, supported by agent-basedmodeling, to more fully understand the impacts of strategic policy decisions.We present a model to explore the socio-technical dynamics of these systems,discuss lessons using this platform, and suggest further research anddevelopment.

Cyber Defense as a Complex Adaptive System: A model-based approach to strategic policy design