This is like a regular ‘crime report’ but focused on digital fraud around the world: it measures where fraud is getting worse, what types are growing, and how well different regions are protecting themselves, so banks, fintechs, and regulators can see where they’re exposed.
Organizations and regulators lack clear, comparable insight into how fraud is evolving across regions (e.g., Asia-Pacific vs. others), which fraud patterns are rising, and whether current defenses are effective. The index aggregates fraud data into a single view that helps prioritize investments in fraud prevention and compliance.
Proprietary, large-scale fraud and KYC data collected across many clients and regions, plus embedded position in customer onboarding and verification workflows that makes switching costly.
Classical-ML (Scikit/XGBoost)
Structured SQL
High (Custom Models/Infra)
Maintaining data quality and label accuracy across regions and evolving fraud tactics; potential latency and cost of real-time fraud scoring at scale.
Early Majority
Combines global KYC/AML onboarding data with regional fraud analytics to produce a comparative index (e.g., highlighting Asia-Pacific lagging in protection), which is more benchmark-oriented than typical point-solution fraud tools.