No one likes passwords. Users complain they’re too cumbersome, easily forgettable and make logging into multiple endpoints a pain. IT security teams, meanwhile, struggle against user predilection to choose easily guessed, familiar password strings and then daisy-chain them across multiple accounts.

According to Naked Security, however, credit card giant MasterCard is rolling out a solution for online purchases over the next few months: pay-by-face, which would require a facial scan as confirmation for purchases. There’s huge interest here and big-time potential, but do selfies really fit the picture of perfect security?

Blink and You’ll Buy It

According to MasterCard’s Chief Product Security Officer Ajay Bhalla, “Passwords are a pain.” He argued that the potential security offered by passwords is consistently undermined by users: While they want personal data protected online, they’re not happy about memorizing multiple sets of login credentials or following complicated password rules. That’s the impetus for the company’s new facial scanning program for online purchases.

Here’s the idea: Using the MasterCard phone app, consumers will be able to pay for their purchases online. Before the transaction is complete, however, the app will ask for user approval in the form of either a fingerprint or facial scan. For fingerprints, users need only touch their screen. For facial recognition, they need to stare at the screen for a moment and then blink once. Bhalla believes that the “new generation” of buyers will embrace this selfie technology, and he might be right. On paper, this sounds like the ultimate form of multifactor authentication; users can’t exactly leave their face at home or forget how to blink.

A Password About-Face?

Not surprisingly, MasterCard’s new master plan has raised a number of security concerns. The first stems from worry over data collection: Does the app allow MasterCard to amass a huge library of consumer selfies and leverage them for unknown future purposes? As noted by The Hacker News, however, the PCI giant says that all facial scans will be digitally converted and then sent to their secure servers, leaving them with no way to reconstruct user profiles.

The second concern revolves around malicious use. Technology companies have been trying for years to make facial recognition an essential part of mobile device security, but so far, even the most advanced systems have proven easy to break. Static face scans, for example, were easily fooled by photographs, and Google’s 2012 initiative “Liveness Check” was tricked by using two photoshopped images that cycled between a user’s face with eyes closed and eyes open, DroidDog reported.

The FBI, meanwhile, has quietly been leveraging the Next Generation Identification (NGI) system developed by Lockheed Martin, which contains over 25 million mugshots. While MasterCard said there’s no way to reconstruct facial data and everything is securely stored on its servers, it has been quiet about any encryption technology. If malicious actors were able to steal this data and reverse the digital conversion procedure or trick the system with altered images, the results could be disastrous. Unlike passwords, there’s no way for users to reset their face.

Is pay-by-face perfectly posed take the purchasing world by storm? There’s a good chance users will appreciate the ease of taking a selfie instead of remembering complicated passwords. Long-term value, however, depends on the ability of MasterCard’s detection software to perform near-flawlessly and avoid the stigma of being two-faced when it comes to the storage of consumers’ personal data.

More from

Data Privacy: How the Growing Field of Regulations Impacts Businesses

The proposed rules over artificial intelligence (AI) in the European Union (EU) are a harbinger of things to come. Data privacy laws are becoming more complex and growing in number and relevance. So, businesses that seek to become — and stay — compliant must find a solution that can do more than just respond to current challenges. Take a look at upcoming trends when it comes to data privacy regulations and how to follow them. Today's AI Solutions On April…

Why Zero Trust Works When Everything Else Doesn’t

The zero trust security model is proving to be one of the most effective cybersecurity approaches ever conceived. Zero trust — also called zero trust architecture (ZTA), zero trust network architecture (ZTNA) and perimeter-less security — takes a "default deny" security posture. All people and devices must prove explicit permission to use each network resource each time they use that resource. Using microsegmentation and least privileged access principles, zero trust not only prevents breaches but also stymies lateral movement should a breach…

5 Golden Rules of Threat Hunting

When a breach is uncovered, the operational cadence includes threat detection, quarantine and termination. While all stages can occur within the first hour of discovery, in some cases, that's already too late.Security operations center (SOC) teams monitor and hunt new threats continuously. To ward off the most advanced threats, security teams proactively hunt for ones that evade the dashboards of their security solutions.However, advanced threat actors have learned to blend in with their target's environment, remaining unnoticed for prolonged periods. Based…

Third-Party App Stores Could Be a Red Flag for iOS Security

Even Apple can’t escape change forever. The famously restrictive company will allow third-party app stores for iOS devices, along with allowing users to “sideload” software directly. Spurring the move is the European Union’s (EU) Digital Markets Act (DMA), which looks to ensure open markets by reducing the ability of digital “gatekeepers” to restrict content on devices. While this is good news for app creators and end-users, there is a potential red flag: security. Here’s what the compliance-driven change means for…