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Fraud prevention is a challenge for the firms to develop newer strategies for combating evolving threats. The usual techniques include the usage of rule-centric algorithms followed by the inclusion of the if-else and other relevant logics for keeping the frauds at may. This is where Machine Learning pitches in as the associated ML algorithms have the capability to adapt and learn according to the nature of threats. Due to the capability of this tool, it becomes easier to predict and thwart activities by making seamless authentication measures easier.