>7,40,000
Cybercrime complaints between
Jan-Apr 2024
Catching...
>7,40,000
Cybercrime complaints between
Jan-Apr 2024
₹ 1.2 billion
Lost in 4,599 cases in 4 months of 2024
3.25 lakh
Scamster accounts frozen in 4 months
17.38 billion
Digital Payments per month - July 2024
424 million
Unique UPI users
467 million
Social Media users
Source: I4C, Digidhan mission on India's Digital Payment Ecosystem & RBI data on digital payments
Modern payment systems are increasingly complex, creating exploitable gaps
The sheer volume and speed of transactions demand more sophisticated monitoring
The intertwining of social behavior and payments are creating a perfect platform for social engineering scams
Profiling & Controls:
Building a Robust Defense from the
Ground Up
Real-Time & Near real time Transaction Monitoring: Catching Suspicious Activity in the Act
Enhancing System Intelligence & Responsiveness
Unified Ecosystem for Enhanced Security: Empowering Stakeholders Through Collaboration
Develop comprehensive customer profiles to manage payments life cycle
Aggregate data across FI—customer demographics, transaction patterns, device info, non financial txns
Utilize AI/ML to classify risk levels and positive behaviour patterns
Use model output to build onboarding controls, risk-based limits etc.
Enhance the scoring model with transaction data, providing a dynamic risk assessment
Combine device, non financial indicators & transaction data for holistic risk management approach
Detect anomalies like rapid fund transfers or profile-inconsistent transactions
Implement real-time & near real time alerts for high-risk transactions, with a feedback loop for model refinement
Streamline alert management and continuously improve the scoring model with a feedback loop
Define clear processes and roles for handling flagged transactions
Create customizable modules for risk and AML teams, as well as tailored solutions like digital KYC alerts for onboarding
Regularly update the scoring model with new insights, enabling self-learning capabilities
Create a secure, collaborative platform for data sharing among FIs, networks, regulators, and LE
Unite stakeholders under a common goal with agreements and protocols for data sharing
Implement a blockchain-based platform to anonymize and aggregate data, protecting privacy while providing actionable insights
Build a centralized database of confirmed fraud/scams and suspicious activities
Ex CRO Visa South Asia & South East Asia, Ex HDFC Bank, HSBC, ANZ & Citibank
Founder & CEO Rage.fan & PeelBlue Inc, Ex Jt. CEO CHiPS Chhattisgarh, Ex CSC & Cognizant
Data Science Leader Applied Data Finance
Ex CRO Visa Asia Pacific, Technology Strategy & Innovation, Ex CIO, ANZ
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