Uncovering Hidden Risk: Fighting Fraud in the Age of AI with Connected Data

India’s rapid digital transformation driven by real-time payments, digital identity platforms, and expanding digital ecosystems, is reshaping how financial transactions, services, and interactions take place. However, this acceleration is also increasing the complexity and scale of fraud, financial crime, and identity-related risks.

Traditional fraud detection approaches often rely on rules and static models that struggle to detect sophisticated schemes spanning multiple accounts, devices, identities, and transactions.

IDC research highlights the growing importance of stronger data foundations for AI-driven risk management. By 2027, organisations that fail to prioritise high-quality, AI-ready data will experience up to a 20% productivity loss, as AI and analytics initiatives struggle with fragmented data environments. At the same time, IDC predicts that end-to-end observability across the data value chain will improve AI proof-of-concept to production success rates by up to 60% in APEJ organisations by 2026.

This executive roundtable will bring together CIOs and technology leaders to explore how connected data and graph intelligence are helping organisations uncover hidden fraud patterns, strengthen investigative analytics, and enable AI systems to operate with greater context and accuracy. Drawing on IDC research and enterprise experiences, the discussion will focus on how organisations can build more explainable, context-aware, and scalable fraud detection systems.