
AI-powered voice phishing scams cost victims ¥4.5 billion.
A former police expert warns executives are at risk.
Scammers can now mimic voices on phone calls.
What happened
A former Tokyo Metropolitan Police investigator with expertise in fraud cases warns that AI is being used in voice phishing scams that impersonate company executives, with reported damages reaching ¥4.5 billion.
Why it matters
The advancement of generative AI is making it harder to distinguish real voices from fakes, putting business leaders at risk of being deceived through phone calls alone, without verifying identity through other means.
What to watch
The article highlights the latest voice phishing tools and fraud trends for 2026, offering guidance for organizations on how to respond to these evolving threats.
Ask the AI about this article →
The article discusses how generative AI has evolved from a productivity tool into a weapon for sophisticated fraud, particularly through voice phishing. The key concern highlighted is the difficulty of verifying identity when scammers can create convincing audio imitations of company leaders. This represents a new dimension of cyber risk that targets the human element of business communication rather than technical infrastructure.
The reported ¥4.5 billion in damages indicates the scale of the problem, and the former police expert's perspective adds weight to the urgency of the issue. The focus on 2026 suggests that these threats are expected to continue or even grow, prompting the article to offer guidance for organizations on defense strategies. The challenge for businesses is no longer just about protecting data but also about questioning the authenticity of voice-based instructions that could come from anywhere.
For example, today's edition would include:
AI-summarized, only the topics you pick — one digest a day via Email, Slack, or Discord.
Free · takes 30 seconds · unsubscribe anytimeWhat is AIToday? →
Ask AI anything about this article. Q&As are published on this page for other readers too.
A January 2026 report by the U.N.'s ITU and WBA found tech firms are not cutting emissions fast enough to meet…

CrowdStrike has established a cyber superintelligence lab to develop security-specific frontier AI models, aim…
Google launched two large language models, Gemini 3.8 Flash and Gemini 3.8 Flash Cyber
AI's workplace efficiency gains often disappear because companies never define where saved time should go

Anthropic paused training of unreleased models for several weeks after two incidents in late July, including o…

A new report by Alipay+ and S&P Global, based on a survey of 6,000 consumers across nine markets in Asia, Euro…
