Case Study: Large Financial Institution achieves data protection ROI insights with RiskLens Cyber Risk Quantification

Risk Team Finds the Best Data Protection Solution Based on ROI

Large Financial Institution, a financial services customer, needed a clearer way to understand and justify the risk posed by sensitive PII stored on unsupported servers running end-of-life software. After using DREAD, the team realized it had produced a threat assessment rather than a true risk assessment, so they turned to RiskLens and its Cyber Risk Quantification platform to express the problem in financial terms.

RiskLens applied the FAIR model for quantitative risk analysis to help the customer understand its current-state risk and evaluate the potential risk reduction from a technology refresh for the unsupported servers. The result was a more useful cost-benefit view of the security investment, enabling the institution to compare its presumed fix against the quantified risk, though the case study does not provide specific numeric savings or ROI figures.