Gemalto is launching the Gemalto Assurance Hub, a new approach to fraud prevention in online banking.
Powered by machine learning, it analyses the profile and the behavior of customers in real time. The platform only activates additional authentication measures when required, providing a smooth user experience.
Banks are delivering a growing number of digital services. In doing so, they are also subject to more sophisticated cyberattacks. Banks need to distinguish genuine users from potentially fraudulent ones, thereby giving legitimate customers a hassle-free service and blocking unauthorised users. Financial institutions must also comply with the latest banking regulations such as PSD2 or FFIEC.
Gemalto Assurance Hub is based on big data; processing millions of transactions built from thousands of attributes (such as device profiling, location, user behaviour, biometric data or keypad style) to analyze behavior in real time and trigger appropriate authentication checks when needed.
For example, if someone makes a high-value transfer from an unusual location, then additional biometric authentication will be requested to validate the transaction, such as fingerprint or facial recognition. Users benefit from non-intrusive security within a trusted environment.
“A recent Gemalto study showed that 44% of consumers would leave their bank in the event of a security breach, and 38% would switch to a competitor offering a better service. At the same time, consumers suffer from both unjustified rejection and excessive authentication steps when banking online or on mobile,” says Bertrand Knopf, executive vice-president: banking and payment at Gemalto.
“The challenge is to minimize and simplify security procedures, without compromising trust in the digital banking domain. This is what the Gemalto Assurance Hub does so easily.”
