Marking a major technological shift from reactive policing to real-time, predictive intervention in the country’s booming digital economy, the Reserve Bank of India is introducing a sophisticated AI-powered system, known as DPIP. This initiative is a direct response to the escalating sophistication of digital scams and the exponential growth of payments platforms like UPI. DPIP is envisioned as a central, shared utility that moves fraud management beyond the isolated systems of individual banks.
While the volume of digital transactions in India continues to break global records, the associated fraud risk has grown large enough to demand a unified, national solution. DPIP is envisioned as a central, shared utility that moves fraud management beyond the isolated systems of individual banks. The project, developed by the Reserve Bank Innovation Hub (RBIH), aims to restore and deepen consumer trust in the digital ecosystem by making the process inherently safer.
The platform’s power lies in its ability to aggregate and analyze data from unconventional, but highly relevant, sources. In its first phase, the DPIP is creating a “negative registry”—a dynamic list of fraudulent or suspicious entities. This registry integrates crucial information that banks previously could not share effectively, including: data on “mule accounts” (bank accounts used by criminals to launder money), intelligence from the Indian Cyber Crime Coordination Centre (I4C), and fraud indicators from telecom operators.
By combining these data streams, the AI model gains a comprehensive view of how, where, and by whom payment fraud is being executed, allowing it to identify complex patterns that traditional, rule-based systems often miss.
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