Source: ET
Context:
The Reserve Bank of India (RBI) is developing a next-generation Digital Payments Intelligence Platform (DPIP) to detect and prevent digital payment frauds in real time using Artificial Intelligence (AI). The initiative is being led through the RBI Innovation Hub, in collaboration with banks, telecom operators, and the Indian Cyber Crime Coordination Centre (I4C).
Key Highlights:
- AI-Powered Fraud Detection:
- The DPIP will use AI and machine learning models to identify fraud patterns and issue instant alerts during transactions.
- Negative Registry (Phase 1):
- In its first phase, RBI has created a negative registry—a shared database that integrates data from telecom companies and the I4C to flag suspicious or fraudulent entities.
- Pilot Implementation:
- Initially, five banks were onboarded to the platform. It is now being expanded to include over a dozen lenders, enabling wider data sharing and detection efficiency.
- Real-Time Risk Scoring (Phase 2):
- The upcoming second phase will introduce real-time fraud data sharing. Transactions will be automatically given instant risk scores, allowing banks to take preventive actions such as:
– Enhanced due diligence
– Additional verification steps
– Temporary debit freezes
- The upcoming second phase will introduce real-time fraud data sharing. Transactions will be automatically given instant risk scores, allowing banks to take preventive actions such as:
- Operational Framework:
- An independent entity will manage the platform, integrating data from multiple sources — including mule accounts, telecom signals, and geographical data — to train AI systems for risk detection.
- Pre-Transaction Alerts:
- The system will generate alerts before suspicious transactions are completed, giving banks or customers a chance to block or verify them.
