The UPI system has simplified digital payments, enabling transactions from buying coffee to transferring funds to friends and paying bills. However, the next challenge for UPI is not just increasing transaction speed, but also enhancing its reliability and security.
According to specialists, the next stage of growth in the digital payment sector will depend on implementing intelligent fraud detection technologies, artificial intelligence, and security systems that operate discreetly for the user without creating unnecessary obstacles during use.
UPI's primary advantage has always been its simplicity and high speed. Nevertheless, as digital payments have become an integral part of daily life, it is becoming critically important for users to verify the authenticity of the counterparty or business.
Abhinav Parashar, co-founder and CEO of Digio, notes that today, payment speed is no longer the determining factor; instead, the factor of trust has gained decisive importance. He emphasizes that a significant portion of fraudulent schemes are carried out through social engineering, where users are deceived or manipulated into approving a transaction themselves.
Thus, the problem lies not only in protecting the payment system itself but also in strengthening user trust and identification.
Traditionally, anti-fraud measures involve strengthening authentication and additional checks. However, an excessive number of verification steps can complicate the payment process and cause discomfort to ordinary users. Abhinav Parashar argues that combating fraud should be based on intelligent solutions, not on creating additional barriers.
Technologies such as behavioral biometrics, device data analysis, AI-based fraud analytics, and liveness detection can be actively used for this purpose. These systems are capable of analyzing a user's typical behavior, their device information, and transaction patterns, helping to identify suspicious activity, atypical devices, or content like photos, videos, and deepfakes.
Chirag Shah, CEO of Pulse, believes that the next phase of UPI requires technologies that enhance protection without demanding extra effort from the user. An example of such a solution could be on-device authentication using biometrics, such as fingerprint or facial scanning. This would maintain the simplicity of the current payment process while adding an extra layer of security.
Dr. Raj P. Narayanan, founder and executive chairman of Zaggle, insists on systems capable of detecting suspicious transactions even before they are completed. According to him, combining AI and behavioral intelligence can lead to methods such as real-time fraud detection, behavioral analytics, device binding, transaction risk assessment, and contextual authentication.
Furthermore, he deems it necessary to implement proactive fraud warnings, robust identity verification, and increased consumer awareness. This is particularly relevant because many UPI-related fraud cases occur not due to technical vulnerabilities in the system, but as a result of social engineering.
For UPI users, increased security in the future does not necessarily mean adding extra steps for every payment. The system can independently assess the transaction risk by considering device and user behavior data in the background. If a transaction is deemed suspicious, the system may request additional protective measures or issue a notification. Thus, the regular payment process remains simple, while risky operations are under close scrutiny by the system.
Dr. Raj P. Narayanan stresses that convenience will always remain an important aspect of UPI's success, but in the coming period, security and consumer protection may become its key characteristics. Chirag Shah also agrees that the next stage of UPI development will depend on increasing user trust in digital payments while maintaining convenience.