According to the World Economic Forum (2019), cybercrime is considered a major international threat. Analyzing the last 10 years, 2019 is the third consecutive year in which data fraud/theft is among the top 5 global risks. There are more and more new attacks, increasingly sophisticated attacks, and more targeted attacks.
Traditional defense models that only provide protection from already-identified threats, or solutions that are able to detect unknown anomalies but do not include supervised learning mechanisms, are no longer enough. Nor do they prevent online banking customers from becoming fraud victims.
buguroo has the antifraud solution that detects the greatest number of online fraud use cases on the market. Based on an innovative Deep Learning technology, it is able to create a unique biometric profile for each user precisely, quickly and completely, starting with the first contact with the customer, providing protection even during the onboarding phase (New Account Fraud – NAF).
It doesn’t matter what the threat is. bugFraud ensures that the user is who they say they are and that they are not being manipulated during the whole session and in real time, analyzing even the smallest anomalies that permit the detection of fraud before it happens.
The result of this analysis translates into a technological risk verdict on the session, which makes it possible to take the correct action regarding suspicious or anomalous user behaviors.
In addition to protecting the end user, bugFraud improves user experience thanks to a reduction in authentication challenges, without obliging users to install anything and without storing confidential or private user data, facilitating compliance with the GDPR and PSD2.
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