The Shift to Intelligence Sharing

Financial institutions have mixed feelings about data sharing for fraud detection. While it seems like a powerful solution to combat fraudsters, implementing it comes with challenges. Typically, data sharing follows a give-to-get model, where many institutions hesitate to contribute their own information unless they receive equal value in return. Beyond concerns about data security and privacy, there are also liability issues related to inaccurate or untimely shared data that could negatively impact customers. This panel will explore common approaches and challenges with data sharing, the shift toward intelligence sharing for improved fraud detection, and strategies to gather and apply actionable risk intelligence.