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Machine Learning is not a one-size-fits-all solution or a cure-all: Michael Thelander, iovation

#artificialintelligence

With the increased attention on fraud and cybersecurity, companies are turning to artificial intelligence (AI) and machine learning to strengthen fraud mitigation efforts to predict the trustworthiness or riskiness of an online transaction. In an effort to achieve the same, iovation, a provider of device-based solutions for authentication and fraud prevention, launched the iovationScore machine learning fraud prevention solution. Michael Thelander, Product Marketing Manager, iovation in an interview with Techseen discussed this new solution and the advent of machine learning in fraud detection. Thelander: iovationScore is less about "fraud detection" than it is a tool for "real-time predictive analysis." One of its uses is to provide immediate insight into how risky a device is, from the very first moment that device appears on your digital doorstep.