This paper analyses a scenario describing a leading tech company that had to deal with an unforeseen blackout. This blackout caused a major disruption to electricity, internet services, telecommunication networks and water supply. The company’s cyber risk management for business continuity plans were tested in this multifaceted challenge. For the computational analysis, an adaptive temporal-causal network model was developed, addressing the scenario. This included adaptive elements such as connection weights and speed factors. The adaptive network model shows how disruptions and responses can unfold. A series of simulation experiments were conducted. These gave an insight into cause-and-effect relationships between different factors involved. A systematic What-If analysis was also provided to assess the impact that changing one factor may have on all other states in the system. All of these provided an enhanced understanding of the scenario and the interconnectedness between the factors involved.