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Case Study: bunq cuts fraud and false positives across 20M+ customers with Sardine

bunq Case StudySourced & dated by Case Study Desk
Key facts · TL;DR
Company
bunq
Industry
Financial Services
Challenge
Keeping pace with evolving fraud complexity across 20M+ neobank customers.
Headline result
bunq reported 82% lower fraudulent incoming funds and a 4X reduction in false positives after adopting Sardine's fraud and AML platform to protect over 20 million customers.

Key results

82%
Lower fraudulent incoming funds
compared to similar neobanks
95%
Fewer fraud victims
compared to industry benchmarks
4X
Reduction in false positives
<20 min
Alert to resolution
in one live attack

The challenge

bunq, a European neobank serving over 20 million global customers, needed to keep pace with the rising complexity and turnover rate of fraud threats. Fraud patterns evolved faster than existing controls could adapt, and the team needed real-time detection able to trace scams across linked accounts and devices.

The solution

bunq adopted Sardine's end-to-end fraud and AML platform, using device and behavior analytics, phone risk scoring, a no-code rule builder with backtesting, machine learning, and case management. The platform lets the fraud team detect threats in real time and trace activity across accounts and devices.

Sardine's platform helped us instantly detect the threat, trace the scam across accounts and devices, and shut it down on the spot. We went from alert to resolution in under 20 minutes.

SR
Stephanie Rios
Product Owner for Fraud Prevention, bunq

The results, in context

bunq reported 82% lower fraudulent incoming funds compared to similar neobanks and 95% fewer fraud victims versus industry benchmarks, alongside a 4X reduction in false positives. In one live attack, the team went from alert to resolution in under 20 minutes.

Products used

Sardine Sardine Fraud & AML PlatformSardine Device & Behavior analyticsSardine Phone risk scoring