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Potential of AI in Fraud Detection

Technological innovation is the new normal in today's world. How many would have imagined a drone could be used for advanced pitch analysis in cricket matches, which has been tried out at the recently concluded Champions trophy in England. Though Artificial Intelligence (AI) has existed for decades yet it is being widely accepted and tried out in the Banking industry now, more than ever. In the Banking Industry, AI is already making inroads be it in Customer Service like introducing Chat-bots, or in AML, or be it Fraud Detection. AI has been and is helping Banks in being more proactive in their approach, like identifying a potential fraudulent transaction even before it happens.

What Potential does AI hold in fraud detection for Banks?

Banking is one industry that deals with a huge amount of data, which could be leveraged to do advanced analysis and come up with meaningful insights. There is a range of activities being carried out by banks in using AI for customer service, for personal financial services, etc. However, there is huge scope for banks to utilize AI techniques in fraud detection. For example, Banks have started using AI techniques in identifying the fraudulent transaction patterns in a card and use the data to prevent frauds. Banks could have a software which could raise a red flag if a customer has accessed his account from 7 to 8 different IP addresses in a span of a week, however the customer could be an artist/actor/tourist who could be doing shopping while he is travelling. So here, an AI software would be vital in looking and analyzing the spending pattern closely. The AI technique here makes the machine to think like a human. Another potential use of AI would be to analyze the user profile based on transactions done and then try to determine whether there is reasonable suspicion. This way the Banks can avoid a fraudulent transaction even before it occurs. Some banks have already started replacing passwords with voice recognition for some of their services which uses AI. Now, this can only be achieved if the system is fed with the historical data of the fraudulent patterns as well as the historical data of verified transactions. Recently MasterCard announced an AI fraud detection service, which helps the FI's reduce the false decline and increase the accuracy of real time approvals for genuine transactions. This would be a great relief for customers. Nothing is more frustrating for the customer than to have their transactions declined for no fault of theirs. The use of AI, which could analyze their spending pattern in order to identify fraudulent transactions, would be truly beneficial to the banks in better understanding their customers. Having said that, every technology comes with its own limitations and that should not deter the banks from trying out AI for fraud detection.

Banks that do not keep updating or taking steps to track suspicious transactions are at a greater risk. Banks have been slow in adopting AI for Anti-fraudulent activities. And it is just a matter of time before more banks adopt the AI techniques for not just fraud detection but aversion too.

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