Open FAIR 2 Foundation Free Sample Questions

In Open FAIR, Risk is explicitly defined as the probable frequency and probable magnitude of future loss. It is quantitative and probabilistic, meaning it should be represented as a range or distribution (e.g., a bell curve or histogram) rather than a single point estimate or a qualitative label.

While the Asset is listed, FAIR requires a clear definition of the Asset, Threat, and Effect. However, usually, a Loss Scenario is formally defined as T-A-E (Threat, Asset, Effect). The question asks what is critical for frequency analysis. In FAIR, the 'Asset' is the value liability, but the 'Method' is often part of the Threat description. Wait, strictly speaking, a Loss Scenario is defined by Threat, Asset, and Effect. If these are present, the scoping is technically complete for the 'Scenario' definition itself. However, often analysts forget the 'Method' or 'Vector' which helps estimate frequency. But according to standard definitions, Threat, Asset, and Effect are the core triad.

O-RA (Open Risk Analysis) Standard focuses on the process aspect—how to scope, collect data, and run the analysis. O-RT (Open Risk Taxonomy) Standard focuses on the terms and definitions—the hierarchy of factors like LEF, TEF, and LM.

This is False. The definitions are swapped. In FAIR (and science generally), 'Accuracy' is the closeness to the true value. 'Precision' is the level of detail or exactness (e.g., number of decimal places). FAIR emphasizes that it is better to be accurate (correct range) than precise (exact but wrong number).

A core benefit of FAIR is the standardized taxonomy and definitions, making analysis consistent and defensible across different analysts and timeframes.

FAIR provides financial loss exposure data, which is essential for calculating ROSI (cost of control vs. reduction in loss exposure).

Risk is derived from Loss Event Frequency (driven by Threat) and Loss Magnitude. Threat is an agent or force that acts against an asset, serving as a contributing factor to the frequency side of the Risk equation.

Risk is the product of Loss Event Frequency (LEF) and Loss Magnitude (LM). These are the two top-level branches of the FAIR taxonomy.

TEF (Threat Event Frequency) represents the probable frequency at which a threat agent acts against an asset (attempts). In this scenario, the attempts occur 50 times per year. The 2 times per year value represents the Loss Event Frequency (LEF), which counts only the successful attempts.

FAIR defines Vulnerability specifically as the probability that a threat agent's action (Threat Event) will result in loss (Loss Event). It is a derived value based on the comparison of Threat Capability and Control Strength.

In the FAIR taxonomy, Vulnerability is derived from the comparison of Threat Capability and Control Strength (sometimes referred to as Resistance Strength).