Quantitative techniques in information risk analysis are swiftly emerging as a method to deliver value through accurately measuring an organisation’s exposure to loss. Most existing techniques to analyse information risk are qualitative, but after hundreds of years of testing through trial and error in numerous industries – insurance, healthcare, oil and finance – a quantitative approach provides an arsenal of tools that account for and reduce uncertainty.
Reducing uncertainty is crucial to accurately measure information risk, helping to direct meaningful decision making. The ISF’s quantitative approach can be adopted with minimal disruption or increased investment, and with the promise of accumulative value over time.
The ISF Approach for Using Quantitative Techniques in Information Risk Analysis helps business leaders and their teams by:
- providing three techniques that are essential for understanding and undertaking quantitative information risk analysis to reduce uncertainty
- demonstrating how quantitative information risk analysis can be conducted to provide accurate and informative results
- presenting ways in which the results of quantitative information risk analysis can be communicated to support decision making.
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