The future is here! Adding "AI" to the device description will surely increase its price. But what about security? We looked at three biometric authentication systems equipped with machine-learning features. How much ML and security are actually there? What new threats does the "AI" buzzword on the box bring? Is there any difference between $100 and $1,000 devices? One of the collateral AI risks we were hunting for is data privacy. And yes, we confirmed the emerging threat to customer data within these and similar devices. To actually try and hack ML engines, we had to use various creative techniques to bypass liveness checks and automate our ML attacks. One of these attacks aimed to create and print a "universal synthetic face" that could bypass authentication mechanisms. This presentation will be a source of inspiration for ML hackers, physical pentesters, appsec, hardware security engineers, and, of course, futurists writing about emerging technologies and threats.