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In the digital age, financial institutions and regulatory authorities are using innovative technology to combat cyber threats. AI has been used to identify risk factors for banks and fintechs through data analysis, threat analysis, and fraud prevention. AI procedures can detect patterns of high risk cases that were previously unknown, allowing financial institutions to predict threats and act preventatively. Machine learning and synthetic data are being used to test risk scenarios and develop new approaches to risk management. AI and machine learning are transforming risk management practices by using big data analytics to improve data analysis processes.
