Case Study: Zurich Kantonalbank achieves stronger fraud detection and fewer false alerts with NetGuardians

Zurich Kantonalbank - Customer Case Study

Zurich Kantonalbank (ZKB), the largest cantonal bank and fourth largest bank in Switzerland, needed a fast, flexible fraud-prevention solution that would detect behaviour anomalies tied to payments without generating excessive false positives. Facing a tight implementation window and an existing volume of roughly 800 false alerts a day, ZKB selected NetGuardians and its behavioural AI/ML risk-model software to spot emerging fraud types and allow rules to be managed outside the bank’s Java-based core platform.

NetGuardians implemented its AI risk models, built bespoke messaging to integrate with ZKB’s self-built core, and helped adapt models to detect specific scams (for example a Microsoft-support scam routed via a Revolut IBAN). ZKB went live in June 2021 and now screens more transactions while reducing false alerts from about 800 to up to 700 per day, stopping more fraud cases monthly; NetGuardians’ explainable AI also gives richer context for investigators, with two full-time staff now monitoring alerts.

Zurich Kantonalbank

Romano Ramanti

Ethical Hacker