Despite creating vast opportunities, the digital transformation in the Iranian banking system has significantly increased the level of cyber threats and intensified the need to design indigenous cybersecurity models. This study aimed to design and evaluate a indigenous cybersecurity framework with a preventive approach and examine its impact on the operational resilience and financial stability of banks. The research method is descriptive-analytical and quantitative in nature; data were collected through a researcher-made questionnaire with the participation of 100 employees related to the fields of information technology, cybersecurity, and banking management. The reliability of the instrument was confirmed with a Cronbach's alpha coefficient between 0.85 and 0.89. The results of Pearson correlation analysis showed that the dimensions of "technology infrastructure", "financial impact of cyber attacks", and "dimension 6" had the highest positive and significant relationship with financial stability, while the dimensions of "security education and culture", "policies and regulations", and "accountability and monitoring" had no significant relationship. Multiple regression analysis also indicated that the research model explains 85.1% of the variance in financial stability and the three aforementioned dimensions have the highest direct and significant effect on financial stability, respectively. These results indicate that strengthening technology infrastructure, improving key attack response mechanisms, and improving operational processes play a pivotal role in increasing banking resilience and reducing the destructive effects of emerging threats. Based on the findings, it is recommended that banks focus their strategic focus on more effective dimensions and redesign their security model based on proactive architecture, dynamic risk analysis, and operational resilience principles.