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Cyber Risk Quantification Definition: Using quantitative methods to estimate potential financial and operational impacts of cyber threats, aiding in informed risk management decisions.
Cyber Risk Quantification moves beyond vague risk ratings like "high," "medium," and "low" to express security risks in financial terms that business leaders can understand and act on. Rather than simply saying a vulnerability is critical based on technical factors, it estimates the potential financial impact of security events, considering factors like the likelihood of successful attacks, costs of incident response, business disruption, regulatory penalties, and reputational damage. This approach helps organizations make data-driven decisions about security investments—understanding, for example, that spending $500,000 on a particular security control might reduce expected losses by $2 million. Methods range from simple models based on historical data to sophisticated probabilistic approaches like Monte Carlo simulations that account for uncertainty. Organizations that implement effective cyber risk quantification typically see improved alignment between security and business objectives, more effective prioritization of security efforts, and easier justification of security budgets.