NPCI pilots AI models to keep digital payment frauds in check
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Apr 3, 2025 | Page No.: 7 | Position: Top Right | Source: Bureau | Sq Cm: 187 | AVE: 79579 | PR Value: 397895
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NPCI pilots AI models to keep digital payment frauds in check While one challenge is posed Our Bureau by the real-time nature of Chennai UPI payments the other is a need to partner with banks As digital financial frauds and get them to authorise rise the National Payments the decline of suspicious Corporation of India NPCI transactions he noted is piloting an Artificial Intel- Highlighting the growth ligence Machine Learning of fraudulent transactions AI ML engine to help flag Krishnamurthy and other UPI IDs of scammers who NPCI officials noted that in collect money from gullible UPI the frauds are more due users Viswanath Krishnamurthy to how customers use the NPCI s Chief Risk Officer Chief Risk Officer NPCI platform rather than the in- Viswanath Krishnamurthy BUOY GHOSH frastructure on Wednesday said that the banks have given us the au- Around 85 per cent of the organisation is now using AI thorisation to decline such customers are greedy and fall ML in a big way to identify transactions in some cases prey to investment and other likely fraudulent transac- we alert the banks about it trading scams 10 per cent tions and flag such accounts Banks then make a call to the occur due to fear such as di- by assigning a risk score to customer to ask them if and gital arrests and the remain- them NPCI s use of such why they are undertaking the ing 5 per cent are out of ig- proprietary AI and data ana- transaction Krish- norance he said lytical models started namurthy said NPCI officials also said around 1 5 years ago and pi- He added that NPCI has that UPI is relatively safer lots with banks have been already declined some trans- than other forms of digital growing since then actions this way with sup- payments owing to use of When someone is work- port from banks PIN the linking of UPI ID to ing to get multiple people to devices and other features transfer money to their ac- TEETHING TROUBLES We are also increasing count our AI models can as- However there are various budget allocation to create sign a risk score to such ac- challenges to scale this and user awareness around most counts based on the history the organisation also faces common scams Krish- of money flow While some false positives he admits namurthy said