INFORMATION SYSTEMS SECURITY IN FINANCE USING MACHINE LEARNING

Abstract

Machine learning has a long history in finance, dating back to the days before mobile banking apps, intelligent chatbots, and search engines. Few businesses are better suited for artificial intelligence than banking, with its enormous volume, accurate historical records, and quantitative character. Machine learning is being used in finance in more ways than ever before, thanks to the availability of more processing power and machine learning technologies. Financial services companies deal with a massive amount of client and transaction data that needs to be examined for fraud. Payments, in particular, are a hotbed for fraud, and treasury and finance professionals surveyed anticipate the pandemic will account for a large portion of the increase in 2020. To meet these demands, businesses must always explore for innovative ways to tighten fraud prevention and risk management practises.