Electronic internal audit, using modern technologies, can effectively identify, evaluate, and control risks and improve the accuracy, speed, and quality of auditing. This allows companies to prevent financial, operational, and information technology threats with greater transparency and more optimal control, and reduce the risk of stock price collapse and financial damage. Therefore, this study was conducted with the aim of presenting a model for reducing corporate risk with electronic internal audit. The required information in the qualitative section was obtained through semi-structured interviews with 15 university professors in the field of accounting familiar with topics in the field of electronic auditing. In this study, a model was designed and influential factors were identified using interpretive structural modeling (ISM). The results of data analysis in this study showed that risk reduction factors including operational risk reduction, financial risk reduction, and strategic risk reduction are at the first level. These factors are the most influential factors in the model. Also, electronic internal audit technology system factors including advanced audit technologies, real-time monitoring capabilities, data security and privacy, and integration with organizational systems, along with electronic internal audit governance system factors including senior management support, integration with risk management, and transparency and accountability, and electronic internal audit process system factors including automated audit processes, continuous auditing, and risk assessment methods are at the second level of the model. These factors are the most influential factors in the model.