Fraud Prevention
Combat fraud and financial crime effectively with our intelligent real-time decision engine.
Success story
Transforming fraud prevention from rules to real-time intelligence
Instant payments and increasingly sophisticated fraud schemes are redefining fraud prevention in banking. Financial institutions must act in real time while meeting growing regulatory and customer expectations.
Rabobank addresses these challenges with INFORM’s RiskShield, enabling real-time detection across multiple fraud domains. The result: improved detection accuracy, fewer false positives, reduced fraud losses, and more efficient operations.
The ChallEnge
Fraud prevention has become significantly more complex in a real-time payments environment. Transactions are executed within seconds, leaving little time to detect and stop suspicious activity. At the same time, fraud patterns are evolving rapidly, often spanning multiple channels and involving coordinated attacks.
For Rabobank, this meant managing increasing transaction volumes and more complex fraud scenarios while ensuring consistent, real-time decision-making. Traditional approaches proved too slow and inflexible, making it essential to transition to a more adaptive, data-driven approach to maintain effective fraud prevention at scale.
RiskShield has transformed our fraud prevention from static rules and manual investigations into a dynamic, real-time detection environment.”
The project in brief
To address these challenges, Rabobank implemented a unified fraud prevention platform that combines real-time processing with advanced analytics and continuous model optimization:
- Real-time fraud detection across online banking, card transactions, and authentication processes
- Combination of rule-based detection, risk scoring, and machine learning in a single platform
- Continuous model updates based on operational feedback and fraud cases
- Immediate, data-driven decisions to prevent financial damage before it occurs
The result
By transforming its approach to a real-time, data-driven detection framework, Rabobank significantly improved its fraud prevention capabilities.
Suspicious activities can now be identified and stopped immediately, while automation reduces manual effort and accelerates response times. This leads to improved detection performance, fewer missed fraud cases, and more efficient operations at scale.
