![]() As a result, current systems simplify data inputs and limit historical context, diminishing fraud detection accuracy in order to achieve scalability.Īnd because updating risk profiles is an offline process that is time consuming and expensive, these systems are also less agile, taking more time to adapt to rapidly evolving fraud patterns. However, risk engines have struggled to keep up with this change, because storing profiles for numerous customers, cards, and terminals requires massive amounts of low-latency memory space at scale. In the past, fraud detection suffered from a paucity of data to build these risk profiles, but now our digital age ensures almost limitless information. Railgun’s breakthrough technology is the result of years of intensive research and development, and the product of multiple Feedzai patents in the area of streaming analytics.įraud detection engines typically rely on risk profiles that capture customer information, such as transaction history over specific periods, and assess the likelihood of a fraudulent payment based on a real-time comparison between current transactional activity and past typical behaviors. Railgun removes these constraints, so financial institutions can now use a complete history of all relevant data – enabling them to assess the likelihood of fraudulent activity with unprecedented accuracy.Īs sophisticated criminals embrace new techniques using generative AI, and as financial crime surges, new AI-based fraud-fighting technologies like Railgun will be critical to protect both consumers and financial institutions. In order to scale, today’s risk engines force financial institutions to limit the data they use to make risk decisions – typically by looking only at a limited history of data, and by using only a subset of relevant data inputs. Feedzai introduced Railgun, its next-generation AI engine designed to target and intercept financial fraud before it can occur.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |