Three Men Charged in US with Using AI to Impersonate CEOs and Steal Millions

United States
The brief

Three foreign nationals have been arrested and charged with a sophisticated fraud scheme that allegedly used artificial intelligence to impersonate corporate executives, resulting in losses exceeding $129 million. The indictment, unsealed by the US Department of Justice, names Jacob Soall, a Spanish-British national, Sharon Hazan, an Israeli national, and Guy Sheetrit, a dual Israeli-Emirati national, as the perpetrators behind this scheme. The trio reportedly utilized AI technology to mimic the voices and images of CEOs and attorneys, convincing employees to authorize large payments.

The charges against Soall, Hazan, and Sheetrit include money laundering and fraud, highlighting a growing concern over the misuse of AI in financial crimes. The United States Attorney’s Office for the Southern District of New York emphasized that the defendants exploited advanced technology to execute their fraudulent activities, which are part of a broader trend of increasing cybercrime facilitated by AI advancements. The indictment details how the suspects orchestrated their scheme over a significant period, targeting companies to siphon off funds under false pretenses.S1S2

This case underscores the urgent need for companies to bolster their cybersecurity measures and remain vigilant against such impersonation tactics. The use of AI to create realistic simulations of executives poses a serious threat to corporate security, as seen in this incident. The defendants are expected to face significant legal repercussions if convicted, with the potential for lengthy prison sentences given the scale of the fraud.S1S2

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38m The Guardian

Three men charged in US with using AI to impersonate CEOs and steal millions

Men allegedly impersonated voices and images of executives to convince employees to send large paymentsThree foreign nationals were arrested and charged with using AI to allegedly…

1h Jpost

Israelis among three suspects charged for $129 million fraud scheme, using AI to impersonate CEOs

Israeli national Sharon Hazan and dual Israeli-Emirati national Guy Sheetrit, along with Spanish-British national Jacob Soall, were all charged with offenses related to money laund…

Three Men Charged in US with Using AI to Impersonate CEOs and Steal Millions

2 outlets 2 reports
The brief

Three foreign nationals have been arrested and charged with a sophisticated fraud scheme that allegedly used artificial intelligence to impersonate corporate executives, resulting in losses exceeding $129 million. The indictment, unsealed by the US Department of Justice, names Jacob Soall, a Spanish-British national, Sharon Hazan, an Israeli national, and Guy Sheetrit, a dual Israeli-Emirati national, as the perpetrators behind this scheme. The trio reportedly utilized AI technology to mimic the voices and images of CEOs and attorneys, convincing employees to authorize large payments.

The charges against Soall, Hazan, and Sheetrit include money laundering and fraud, highlighting a growing concern over the misuse of AI in financial crimes. The United States Attorney’s Office for the Southern District of New York emphasized that the defendants exploited advanced technology to execute their fraudulent activities, which are part of a broader trend of increasing cybercrime facilitated by AI advancements. The indictment details how the suspects orchestrated their scheme over a significant period, targeting companies to siphon off funds under false pretenses.S1S2

This case underscores the urgent need for companies to bolster their cybersecurity measures and remain vigilant against such impersonation tactics. The use of AI to create realistic simulations of executives poses a serious threat to corporate security, as seen in this incident. The defendants are expected to face significant legal repercussions if convicted, with the potential for lengthy prison sentences given the scale of the fraud.S1S2

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Sources · 2 citations

S1 The Guardian 1 report · EN
S2 JpostLead 1 report · EN