Opinions

The technology has graduated from early movers and is large enough to make a difference in authentication, argues Findora's Charles Liu.

New, risk-based technologies powered by AI and machine learning (ML) enable financial institutions to analyze transaction, device, geographical and behavioral data to make real-time security decisions, detecting and preventing fraud as it happens, says OneSpan's Michael Crichton.

The morphing of e-commerce and brick and mortar technology will require strategies that address both at the same time, says Zoomd's Omri Argaman.

Innovation is showing little sign of slowing, creating both myriad benefits and risks moving ahead, says Visa's Paul Fabara.

Consumers face significant risk if this highly personal information is exposed, says Mitek's Stephen Ritter.

It can be a painful process for a bank to go digital, but there are ways to ease the transition.

The first line of defense is to not pay the ransom. Then a layered approach to security and recovery plan can ward off the crooks, says Nominet's Stuart Reed.

To compete and remain relevant in 2020 and beyond, organizations must rapidly develop, test and deploy innovative new products and services in increasingly larger amounts, says Paragon Application Systems' Steve Gilde.

Open banking transactions are not initiated by a consumer but are coming from another financial services company. This could make some fraud detection models in place today obsolete.

Given the financial health and outlook for many retailers, their ability to get the digital experience right could be the difference between operating in 2021, or joining the growing list of retail bankruptcies, says Applause's Kristin Simonini.