Our solution is capable of processing up to 20 mil transactions per day in batches or in real-time with a response time of less than 1ms per transaction—quickly improving fraud detection and prevention capabilities while reducing operational costs and bettering customer confidence.
An AI-based hyperautomation fraud detection solution is cloud neutral and combines machine
learning with a business rules engine to minimize fraud losses while reducing false positives.
Fraudsters, armed with state-of-the-art technologies, are persistently targeting the finance sector. Consequently, these constant attacks contribute to the finance industry incurring hundreds of billions in losses annually.
Learn why by adopting a multifaceted approach—one including ML, AI, and a BRE with robust security measures—enterprises in the financial industry are able to build an even stronger protection and stronger trust with customers while also protecting themselves from significant financial losses and reputational damage.
With the extensive use of e-commerce, credit card fraud has become a major issue that every bank, payment processing platform or web-shop site is facing. Big loss in business is not only related to fraudulent transactions, but also in denying legit transactions, which are deemed to be fraudulent leading to loss in revenues, high levels of customer traveling and more.
Today, the competition in the financial services landscape is growing rapidly with entry from the non-banks. Small fintech companies are nibbling away at large financial institutions’ market share for their products and services. The major value proposition from fintech is top of the line end-to-end customer experience.