- How do the challenges and rewards of implementing risk-based authentication evaluate? Is the chance value it?
- What needs to be included in data-driven methods for optimising fee transaction experiences?
- How has PSD2 and 3DS laid the inspiration for enhanced and standardised safety for on-line credit score and debit transactions?
- In what methods ought to issuers and processers be educated in how machine studying and AI may also help embed belief within the transaction lifecycle?
In response to Juniper Analysis, the entire price of ecommerce fraud to retailers will exceed $48 billion globally this yr. Of this startling determine, Europe is cited as comprising 26% of fraud by worth. In opposition to this fraud panorama—and in a world wherein customers count on more and more seamless digital experiences—issuers are tasked with the tough work of serving to to create belief in transactions.
So, how can the European monetary sector cut back fraud, improve approval charges, strike a stability with friction, and supply a greater buyer expertise, all on the identical time? Whereas this will seem to be it would require an upheaval of techniques and processes, it’s achievable. Danger-based authentication (RBA) is one such means that this may be supported, by making use of various ranges of strictness to authentication processes based mostly on the chance that an interplay is fraudulent.
Monetary providers gamers can leverage danger insights to allow issuers to progressively take away friction from the consumer expertise. This implies prospects are protected by a related stage of safety that interprets into minimal affect and a seamless expertise—which leads to elevated belief all through the transaction lifecycle.
Join this Finextra webinar, hosted in affiliation with Mastercard, to hitch our panel of trade specialists who will determine what needs to be included in data-driven methods for optimising fee transaction experiences.
