Skip to content
NewA calmer, faster ZeroHour

Three men arrested over AI executive and lawyer impersonation fraud

Original title: Three People Arrested for AI-Enhanced Impersonation Fraud

Schneier on Securityby Bruce Schneier ()1 min read
AI summary · x-ai/grok-4.7Summaries by Vani AI

Prosecutors say the scheme took more than $129 million from companies worldwide between 2024 and 2026.

The US attorney’s office for the Southern District of New York said Jacob Soall, Sharon Hazan, and Guy Sheetrit used AI to alter voices and images and impersonate executives and lawyers so employees would wire money. Soall and Hazan were arrested in Spain over the summer, and Sheetrit was arrested in the United Kingdom in September. The Justice Department says the alleged fraud ran from 2024 to 2026.

Unconfirmed: The theft total and method are Justice Department allegations; the item does not say the men were convicted.

Key facts
  • Suspects allegedly posed as executives, then as lawyers at a large international law firm.
  • Employees were told to help with sensitive financial transactions and then to wire funds.
  • Victims included companies in the United States and elsewhere, according to the Justice Department.
Security assessment · AI, from the article

Impact: More than $129 million allegedly stolen through impersonation

Analyze this story with Vani AIImpact, who is affected and what defenders should do, in a new chat

From the original article

1 min read at schneier.com

It’s hard to believe how lucrative this crime can be: According to a press release from the United States attorney’s office for the southern district of New York, three men ­ Jacob Soall, Sharon Hazan, and Guy Sheetrit ­ were arrested for using AI to alter and impersonate the voices and images of executives and attorneys at various companies in order to convince employees to send over large payments.

Schneier on Security

By Bruce Schneier · schneier.com

Read the full article at Schneier on Security

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.