Evaluating the Cost-Benefit Dynamics of Cybersecurity Compliance Investments: A Multi-Sectoral Analysis Across Financial, Educational, and Ecommerce Industries
Computer Science & IT Research Journal, volume 6, issue 4, 2025[10.51594/csitrj.v6i4.1914]
22 Pages Posted: 16 Oct 2025
Date Written: May 15, 2025
Abstract
Following the assertion of recent studies (Balogun, 2025) establishing the foundational role of compliance investments in mitigating data privacy breaches within U.S. healthcare; while the study is limited to the cost-benefit dynamics of such investments across other critical industries, this study investigates cybersecurity compliance investments and outcomes across financial, educational, and e-commerce sectors using quantitative methods. Data were drawn from the SEC EDGAR database, IBM Cost of a Data Breach Report, and the Privacy Rights Clearinghouse. Descriptive statistics, multivariate regression, costbenefit analysis, logistic regression, and k-means clustering were employed to assess expenditure patterns, outcome efficiency, and compliance maturity. Results reveal that while the financial sector had the highest average investment ($850M), its cost-benefit ratio (CBR = 0.00547) lagged behind the education sector (CBR = 0.02016), which achieved the highest efficiency despite minimal investment. Zero-trust adoption (β =-1.81) and MFA (β =-1.60) emerged as the strongest predictors of breach resilience. The study recommends regulatory transparency on cybersecurity ROI, targeted support for low-capacity institutions, a shift to resilience-based auditing, and mandatory architectural safeguards for e-commerce platforms to optimize compliance effectiveness across sectors.
Keywords: Cybersecurity Compliance, Cost-Benefit Ratio, Breach Prediction, Sectoral Investment Efficiency, Regulatory Strategy
Suggested Citation: Suggested Citation
Evaluating the Cost-Benefit Dynamics of Cybersecurity Compliance Investments: A Multi-Sectoral Analysis Across Financial, Educational, and Ecommerce Industries
(May 15, 2025). Computer Science & IT Research Journal, volume 6, issue 4, 2025[10.51594/csitrj.v6i4.1914], Available at SSRN: https://ssrn.com/abstract=5593290