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SOURCE-BACKED TECHNICAL

AI Advances Enable Scalable Automated Voice Phishing Attacks

New research shows that AI voice synthesis and large language models can automate voice phishing attacks, removing the need for human operators. A large-scale study assessed U.S.

Source: arXiv · arxiv.org Published 2026-07-10T20:54:32+00:00 Detected 2026-08-14T17:19:50+00:00
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New research shows that AI voice synthesis and large language models can automate voice phishing attacks, removing the need for human operators. A large-scale study assessed U.S.

AI-assisted summary based on the listed source.

Voice phishing (vishing) attacks have traditionally been limited by the need for human operators. The rapid emergence of high-quality AI voice synthesis and large language models (LLMs) reduces this bottleneck and enables scalable, automated scams. In this paper, we conduct a large-scale survey experiment (N=4100)...

This development could significantly increase the scale and frequency of voice phishing attacks, posing greater risks to individuals and organizations. Understanding susceptibility helps in designing better defenses against AI-driven social engineering.

Signal Strength 95% Technical label SOURCE-BACKED Public Interest 0 Reader Depth TECHNICAL

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Recognizable Entity Score 0 Practical Impact Score 0 Novelty Interest Score 0 Consequence Score 0 Curiosity Score 0 Shareability Score 0

VQV surfaced this signal because it is recent, relevant to AI Voice, connected to arXiv.