Arkose Labs releases Arkose MatchKey, a new suite of CAPTCHA challenges that improves both defensibility against attackers and usability for consumers.
Fraudsters are getting creative, and CISOs need a diverse set of solutions to be able to detect and stop them. This reality was the underlying driver for the innovation behind Arkose MatchKey. CAPTCHAs continue to prove effective especially when combined with a defense-in-depth approach like the one offered by Arkose Detect.
Arkose Labs CTO Ashish Jain said, “Consumers find traditional CAPTCHAs frustrating and fraudsters have found ways to get around them. Add on to that fraudsters are scaling their attacks to take advantage of fluctuating economic conditions and you get a massive increase in account takeovers, automated credential stuffing, and fake account registrations. As a result, marketplace demand for a completely new approach to CAPTCHAs is at an all-time high. It’s exciting to be the first to answer the market’s needs.”
The same Arkose MatchKey challenges that are quick and easy for good users are designed to present adversaries with thousands of variations, raising the time, effort, and expense they must invest in solving them. When the ROI is negligible, adversaries move on to less protected targets.
Global enterprises today expect cybersecurity strategies to protect systems, as well as ensure consumer trust and influence profitable growth. But they haven’t been able to achieve that consistently by using traditional CAPTCHAs for these three reasons:
- Traditional CAPTCHAs are built to present the same level of friction to all site visitors, whether the visitor is a malicious bot, human fraud farm, or a good user.
- Attackers are exceptionally proficient at defeating traditional CAPTCHAs using off-the-shelf ML techniques that are easily trained on the generic photos and images used by these CAPTCHAs.
- Accessibility, cross platform and device responsiveness, and usability are barely an afterthought in the traditional CAPTCHAs, making them hard to implement universally across all regions and channels.



