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The Gordon–Loeb model is an economic model that analyzes the optimal level of investment in information security. The benefits of investing in cybersecurity stem from reducing the costs associated with cyber breaches. The Gordon-Loeb model provides a framework for determining how much to invest in cybersecurity, using a cost-benefit approach.
Cyber risk quantification involves the application of risk quantification techniques to an organization's cybersecurity risk. Cyber risk quantification is the process of evaluating the cyber risks that have been identified and then validating, measuring and analyzing the available cyber data using mathematical modeling techniques to accurately represent the organization's cybersecurity ...
Supply Chain Risk Management (ID.SC): The organization's priorities, constraints, risk tolerances, and assumptions are established and used to support risk decisions associated with managing supply chain risk. The organization has in place the processes to identify, assess and manage supply chain risks.
Once the threat model is completed, security subject matter experts develop a detailed analysis of the identified threats. Finally, appropriate security controls can be enumerated. This methodology is intended to provide an attacker-centric view of the application and infrastructure from which defenders can develop an asset-centric mitigation ...
The Detection Maturity Level (DML) model [7] expresses threat indicators can be detected at different semantic levels. High semantic indicators such as goal and strategy or tactics, techniques and procedures (TTPs) are more valuable to identify than low semantic indicators such as network artifacts and atomic indicators such as IP addresses.
Many NIST publications define risk in IT context in different publications: FISMApedia [9] term [10] provide a list. Between them: According to NIST SP 800-30: [11] Risk is a function of the likelihood of a given threat-source’s exercising a particular potential vulnerability, and the resulting impact of that adverse event on the organization.
Factor analysis of information risk (FAIR) is a taxonomy of the factors that contribute to risk and how they affect each other. It is primarily concerned with establishing accurate probabilities for the frequency and magnitude of data loss events. It is not a methodology for performing an enterprise (or individual) risk assessment. [1]
This is typically achieved by taking out insurance against the risk occurring, by entering into a contract with another organization, or by using partnership or joint venture structures to share the risk and cost should the threat eventuate. [4] The act of purchasing insurance is an example of risk transferral.