What types of losses does the FAIR framework typically analyze?

The FAIR framework is designed to provide a comprehensive assessment of risks associated with information, which includes evaluating various types of losses that can result from those risks. Selecting the option that indicates both tangible and intangible losses captures the framework's holistic approach.

Tangible losses refer to measurable, concrete impacts such as financial losses resulting from data breaches, direct costs associated with incident response, or loss of property. Intangible losses, on the other hand, can include reputational damage, loss of customer trust, or diminished employee morale. These intangible aspects can significantly affect an organization's long-term viability and operational effectiveness, making it essential for a risk analysis framework like FAIR to consider them alongside tangible losses.

By including both types of losses, the FAIR framework allows organizations to gain a more accurate understanding and quantification of the overall impact of information risk, ultimately supporting decision-making for risk management investments and strategies. This comprehensive analysis is crucial in an increasingly complex threat landscape where the ramifications of data incidents can stretch far beyond immediate financial implications.