This research investigates the impact of state-of-mind and four domains of bias on decision-making in cybersecurity. The states of mind are rest and panic, while the four domains of biases are: (1) prior hypothesis and focusing on limited targets, (2) exposure to limited alternatives, (3) insensitivity to outcome probabilities, and (4) illusion of manageability, influence. The state-of-mind and the bias domains are integrated into a multilevel adaptive network to illustrate decision-making with respect to state-of-mind and biases. The results demonstrate that the first two domains of bias increase when there is a change in the state-of-mind from rest to panicked, whereas the last two domains decrease. This indicates that people tend to fall back on familiarity when their state-of-mind is panicked.