Enterprises are increasingly using mobile intelligence (a collective term for device and mobile signals) as a critical source of data to authenticate consumer identity in order to prevent fraud and ensure frictionless customer experiences. Mobile Network Operators (MNOs) have long been the custodians and the providers of this raw data. Enterprises such as banks have leveraged this data to digitally identify their customers and strengthen the authentication of financial transactions. However, exponential growth in digital transactions globally and increasing sophistication in fraud have exposed the limitations of this approach, highlighting the need for an algorithmic model that taps into multiple data sources and attributes to assess a transaction's trustworthiness.
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