Fraud Prevention Paradox: When Controls Kill Customer Trust 2026

Digital businesses across iGaming are making a critical mistake with fraud prevention: they're deploying controls so aggressive that they reject legitimate customers faster than they catch criminals, creating a profitability problem disguised as a security solution.

This is the argument advanced by Volodymyr Todurov, CEO of fraud prevention firm Frogo, who contends that the industry has fundamentally misunderstood how to measure success in anti-fraud operations.

The False Positive Trap

Most operators measure fraud prevention effectiveness by looking at denial rates—how many transactions or accounts they block. The higher the block rate, the thinking goes, the better the fraud control.

But Todurov argues this metric is backwards. A system that blocks 99% of all activity will catch virtually all fraud, but it will also reject most legitimate customers. The cost of that customer loss—through churn, declined transactions, and reputational damage—often exceeds the fraud losses being prevented.

"Fraud controls can damage profitability when they drive away legitimate customers," Todurov explains. The issue is particularly acute in iGaming, where stringent KYC, AML, and bonus abuse prevention rules already create friction. Layer on overly sensitive fraud detection, and operators create a gauntlet that legitimate players increasingly choose to avoid.

Rethinking Risk Assessment

The solution, Todurov argues, requires rethinking how operators assess risk. Rather than treating all suspicious activity the same way, operators should implement granular, context-aware risk scoring that distinguishes between genuine fraud signals and legitimate behavioral variance.

A player making an unusual deposit or accessing their account from a new device isn't necessarily committing fraud. But current systems often flag such activity and require additional verification steps, degrading the customer experience without meaningfully reducing fraud losses.

Measuring What Actually Matters

Operators need to shift their success metrics away from denial rates and toward fraud loss reduction per retained customer. This requires sophisticated modeling: understanding not just how much fraud is prevented, but at what customer cost, and whether a less aggressive approach might actually improve the bottom line.

This is particularly relevant as competition for players intensifies. Operators offering smoother, faster onboarding with intelligent fraud controls—rather than draconian blanket restrictions—are likely to capture market share from competitors whose fraud prevention systems function as customer repellent.

The debate also intersects with regulatory compliance. Stringent KYC and AML rules are mandatory, but their implementation should be designed to minimize friction while maintaining control. Some operators are managing this balance more effectively than others, and those that get it right will see both better compliance metrics and stronger customer metrics.