In my previous blog post, I discussed the differences between a static and dynamic approach to leveraging biometrics for fraud detection. The second part of this blog series will focus on behavioral biometrics, a form of dynamic biometrics that many financial institutions have adopted in recent years to drive continuous protection and banish friction in digital channels.

According to Experian's latest Global Identity and Fraud Report, 95% of businesses have “high confidence in their ability to identify and re-recognize their customers at every interaction.” Yet at the same time, 57% of businesses surveyed reported higher losses associated with account opening and account takeover fraud.

When choosing an approach to fraud detection, many organizations are struggling with the most effective path to take. According to Gartner’s Predicts 2020: Identity and Access Management¹ (Gartner subscription required), “a broad spectrum of capabilities is required to create an effective payment fraud prevention strategy for digital B2C channels, including malware and bot detection, device identification, behavioral analytics and transaction monitoring.” 

Gear up. The 2019 holiday shopping season is upon us, and with it a sharp increase in online fraud. According to Arkose Labs, fraud increased by 30% in Q3 2019, a preliminary of what’s to come as criminals test stolen credentials to pave the way to successful scamming.

Heading into the new year, everything from your washing machine to your mobile banking app will be a potential source of fraud risk. It’s the challenge of living and doing business in the age of digital transformation. As our day-to-day lives becomes more convenient through all that technology has to offer, fraud becomes simpler for cyber criminals.

Cybercriminals never stop improving their attack methods. Cross-channel fraud is one of their latest strategies, and it’s causing trouble for financial institutions and online merchants who are embracing the omnichannel payments revolution.