This study aims to examine the impact of artificial intelligence on the effective applying of cyber governance in Jordanian commercial banks. The objectives are divided into identifying the impact of expert systems on cyber governance in Jordanian commercial banks, identifying the impact of neural networks on cyber governance in Jordanian commercial banks, identifying the impact of genetic algorithms on cyber governance in Jordanian commercial banks, and identifying the impact of smart agents on governance cyber​​ in Jordanian commercial banks, The current study population includes (13) Jordanian commercial banks listed on the Amman Stock Exchange and the study sample includes all employees in the accounting departments, internal auditors, and programmers. The researchers distributed (208) questionnaires to the study sample members electronically, at a rate of (16) questionnaires in each bank and retrieved them in the same way. Then, 208 questionnaires were retrieved, including (7) questionnaires that are not valid for analysis, due to following the pattern method in answering all paragraphs, so that the researcher has (201) questionnaires valid for statistical analysis, This indicates the interdependence between artificial intelligence techniques and applications (expert systems, neural networks, genetic algorithms, and smart agents) on the effective application of cyber governance in Jordanian commercial banks, as these technologies and applications contribute to enhancing the effectiveness of cyber governance. Thus, it is necessary for commercial banks in Jordan to rely more on advanced systems, so that banks can use modern computer equipment and software, and thus increase the dependence of these banks on the effective application of cyber governance to follow up the progress of business and tasks in accordance with its strategies.