From rules to intelligence: How FIs can harness hybrid systems to stay ahead of evolving fraud

Fraud isn’t standing still - and neither can financial institutions. With losses projected to hit $58.3 billion by 2030, banks face a fast-moving threat that traditional, rule-based systems alone can’t contain. Static “if-then” logic may stop known schemes, but it struggles to keep up with today’s sophisticated fraudsters, driving false positives, wasted investigations, and customer frustration.

That’s where machine learning changes the game. Continuously learning from data, it adapts in real time to spot new tactics, reduce false alarms, and protect the customer experience. By understanding behaviours and detecting anomalies earlier, it helps fraud teams focus on real threats while keeping transactions flowing smoothly.

But the smartest strategy isn’t choosing between rules or AI - it’s combining both. A hybrid approach brings the clarity and control of rule-based systems together with the adaptability and predictive power of machine learning. The result? Faster, more accurate fraud detection at scale, lower operational costs, and a safer, frictionless journey for customers.

Our new eBook, ‘From rules to intelligence: How FIs can harness hybrid systems to stay ahead of evolving fraud’ -  shows how financial institutions can harness hybrid systems to stay ahead of evolving fraud. Download it today to discover how to protect revenue, reputation, and customer trust in an era where agility is everything. To learn more about our AI-powered fraud solution, visit our FraudAxis page.