Sep 2026· International Journal of Data Science and IoT Management System· Vol 5, pp. 1069-1077· 0 citations
TL;DR
The study concludes that advanced cyber risk management is a highly feasible, strategically vital infrastructure investment that protects bank solvency and retail customer assets.
Abstract
This study, titled "A Study on Cyber Risk Management Strategies in Financial Institutions," evaluates the cybersecurity frameworks, operational vulnerability controls, and capital budgeting parameters of protecting private commercial banking infrastructures from systemic cyber threats. The digital banking era is characterized by high cyber risk intensity due to phishing, ransomware, credential theft, and DDoS attacks. A five-year project lifecycle (2021-2025) of an automated threat response and containment platform is analyzed using standard capital budgeting parameters: Net Present Value (NPV), Internal Rate of Return (IRR), Payback Period (PBP), and Benefit-Cost Ratio (BCR). Quantitative metrics indicate that phishing and ransomware constitute 60% of cyber incidents. Deploying AI-optimized threat containment systems reduces incident recovery costs to 3.2 Lakhs, while maintaining core database uptime at 99.99% and raising quarterly staff training completion to 98% by 2025. The financial model yields a positive NPV of 284.5 Crores and an IRR of 38.6%, far exceeding the 10% cost of capital. The study concludes that advanced cyber risk management is a highly feasible, strategically vital infrastructure investment that protects bank solvency and retail customer assets. Keywords: Cyber Risk Management, Incident Response, Uptime, Ransomware, Phishing, Cost-Benefit Analysis, Capital Budgeting, Basel III, Financial Institutions.
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