Card-not-present fraud is growing as payments become more digital and fraud tactics more sophisticated. This e-book explains why legacy detection struggles with rising data volumes, real-time decision requirements, and AI-enabled threats, then proposes a framework built on new payment directives, data governance, and cloud and AI/ML technology. Capgemini and MongoDB outline three steps: fraud detection, prevention, and response, using ISO 20022 data, machine learning, rules, user behavior analytics, and feedback loops. MongoDB supports the model with a flexible document schema, change streams, aggregation, security controls, and event-driven processing designed to identify suspicious transactions quickly while reducing losses, false positives, and fraudulent chargebacks.

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