What’s inside?
In the complimentary guide, “Checklist in Choosing a Fraud Detection Solution for Fintechs”, you’ll gain actionable fintech specific insights to:
- Maximizing real-time, accurate decision-making with orchestration of diverse data sources
- Employing advanced rules engine and machine learning models to reduce fraud losses and boost approval rates
- Leveraging an end-to-end, self-service solution to swiftly implement and deploy advanced fraud strategies
Choosing a Fraud Detection Solution
Fintechs need a unique combination of accurate detection, real-time capabilities, rapid scalability, and customization to grow quickly while preventing dangerous fraud vectors.
Use this checklist on choosing a fraud detection solution to help your fintech assess the most important features needed to proactively eliminate its unique fraud threats.
Data
- Do you have comprehensive data to make accurate fraud decisions?
- Do you have the infrastructure to enable real-time data orchestration across different sources?
- Does your solution gather device data at critical points, including operating system, network, timestamp, device IDs, and user agents?
- Does your solution provide device scores and reputation scores?
- Can your solution report the number of application reinstallations and device hooking status?
- Does your solution seamlessly integrate with various third-party data vendors for fraud decisioning?
- Can you create complex features, including velocity and out-of-pattern features, and use them in rules, models, and real-time decisions?
Detection
Fintechs face a unique challenge: growing rapidly while safeguarding against evolving fraud threats that threaten customers and undermine progress. Use this checklist to help your fintech assess the most important features you’ll need to proactively manage your unique fraud threats.
Year-After-Year,
the Industry’s Choice
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