Companies might want to think twice before implementing A.I. systems to monitor and authenticate staff.

New techniques in machine learning have led to synthetic fingerprints and other automatically-generating bioidentifiers capable of fooling monitoring systems. Researchers at Michigan State University and New York University built an algorithm that can generate fake biometric credentials, signaling the potential for innovation-related vulnerabilities on our horizon.

One such instance might be a malicious system generating millions of fingerprints in a brute force attack to remotely open a door or unlock a laptop.