Which aspect does NOT influence the loss event frequency in the FAIR model?

In the FAIR model, loss event frequency refers to how often loss events are expected to occur over a specific period. The factors that influence this frequency are grounded in quantifiable elements that relate to past data, operational context, and external threats.

The historical loss data plays a critical role in informing the frequency of potential losses based on past occurrences of similar events. It helps establish a baseline from which future expectations can be defined.

The threat landscape encompasses the various threats and actors that can cause harm to the organization, impacting the likelihood of a loss event. This includes the identification of potential adversaries and their methods, which are all vital for understanding how often a loss might occur.

The effectiveness of current controls is another factor that significantly impacts loss event frequency. If existing controls are highly effective, they can reduce the likelihood of loss events, while inadequate controls may allow for more frequent occurrences.

In contrast, while an organization’s risk appetite does reflect how much risk the organization is willing to accept, it does not directly influence the frequency of loss events. Risk appetite is more related to decision-making and strategic choices regarding risk management rather than being a tangible factor that affects the statistical likelihood of loss events. Therefore, it does not have a direct impact on the occurrence rate