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This article addresses the critical vulnerability of voice and video biometrics in the face of advanced AI cloning, arguing that traditional low-tech verification protocols are becoming essential defenses against deepfake-enabled financial fraud. The core issue is not a new technology but the erosion of trust in visual and auditory identity cues, which directly impacts the security architecture of high-value corporate transactions.
A low-tech solution from the past may be your best defense against AI deepfakes
AI-enabled identity theft is getting too sophisticated to have predictable tells anymore, so experts recommend answering with a seemingly old-fashioned approach.
Follow ZDNET: Add us as a preferred source on Google. Deepfakes and AI clones get more sophisticated and harder to detect. Advanced attacks involve long-term infiltration of a company's systems. Experts recommend low-tech security protocols that offer better defenses. In January 2024, an employee at professional services firm Arup joined a video call with someone they believed included the company's CFO. This call resulted in 15 wire transfers to third-party accounts totaling about $25m. Every participant on the other side of the video call was an AI-generated clone cobbled together from public appearances and earnings calls of Arup executives. "Seeing and hearing someone is no longer proof they are real," said Deepak Gupta, technical CEO at GrackerAI, when discussing the Arup incident with ZDNET. "Any protocol that relies on 'I recognized their face and voice' is now broken." We live in a post-truth world where employees…
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