Safeguarding Financial Records: A Cybersecurity-Driven Management Framework

Abstract

This study addressed the persistent problem that financial records stored and processed across cloud and enterprise platforms remain vulnerable to confidentiality, integrity, availability, and auditability failures because preventive controls are often implemented without equally strong monitoring, incident response readiness, and user compliance discipline. The purpose was to validate a cybersecurity-driven management framework that explains Financial Records Safeguarding Effectiveness (FRSE) within a quantitative, cross-sectional, case-based design using survey evidence from enterprise roles working with cloud and on-premises record workflows. Data were collected from 210 valid respondents drawn from finance and accounting (52.4%), audit and compliance (23.8%), and IT and security (23.8%), with 80.0% handling financial records weekly or more. Key variables included four independent constructs, Access Control and Authentication (ACA), Data Protection and Recovery Readiness (DPR), Awareness and Compliance Discipline (ACD, PMT-informed), and Monitoring and Incident Response Preparedness (MIRP), and the dependent construct FRSE, all measured on 5-point Likert scales. The analysis plan applied reliability testing (Cronbach’s alpha), descriptive statistics, Pearson correlations, and multiple regression with multicollinearity checks. Findings showed moderate to high safeguarding maturity, with mean scores of ACA 3.82 (SD 0.64), DPR 3.71 (SD 0.66), ACD 3.58 (SD 0.70), MIRP 3.49 (SD 0.73), and FRSE 3.67 (SD 0.61); reliability was strong (α = 0.84–0.90 across constructs). FRSE correlated positively with all predictors, strongest with MIRP (r = 0.71, p < .001) and ACD (r = 0.66, p < .001). Regression results confirmed the integrated model was significant (F(4,205) = 74.6, p < .001) and explained substantial variance (R² = 0.593; Adjusted R² = 0.585), with MIRP the strongest predictor (β = 0.36, p < .001), followed by ACD (β = 0.27, p < .001), ACA (β = 0.19, p = .002), and DPR (β = 0.12, p = .041); VIF values (1.42–2.18) indicated no multicollinearity concern. A derived Threat Exposure Index averaged 0.266 (SD 0.122), with 18.6% low exposure, 62.4% moderate, and 19.0% high. Implications are that organizations should prioritize evidence-producing controls, especially monitoring and incident readiness, alongside PMT-aligned compliance strengthening, because these domains deliver the highest measurable gains in safeguarding effectiveness in cloud and enterprise financial record environments.