AI sextortion targets high-net-worth Israelis and Americans
The Jerusalem Post reports a new AI-driven sextortion scheme targeting high-net-worth individuals, primarily in the United States, and spreading to Israel, Ori Segal, CEO of Cyvore, told The Jerusalem Post. Segal described attackers initiating video-call interactions that show a naked woman self-stimulating; after the call ends, attackers alter the woman's face with AI to make the footage appear to show a 12-year-old, then threaten victims with criminal exposure and demand payment. Segal said the fraudsters manipulate only the woman's face rather than generating an entire scene, which makes the video appear more realistic and increases targets' emotional reaction. Segal also predicted the attacks would expand from the US to Israel. The report warns the scam leverages specialized AI tools and social-engineering pressure to extract large sums from victims.
What happened
The Jerusalem Post reports that Ori Segal, CEO of Cyvore, warned of a new AI-powered sextortion scheme targeting high-net-worth individuals, with victims reported primarily in the United States so far. Segal described attackers initiating video calls that display a naked woman engaging in sexual activity; after the call, attackers use AI face-manipulation to alter the woman's face so the footage appears to show a 12-year-old, then send partial video evidence and extortion demands to the target, according to The Jerusalem Post. Segal told The Jerusalem Post he expects the campaign to expand to Israel.
Technical details
Per Segal's description to The Jerusalem Post, perpetrators are not creating fully synthetic scenes but are using specialized AI tools to change the woman's face, which the source says produces a more plausible, emotionally charged artifact for the victim. "They use very special AI tools to change the figure of the woman that you just saw into a child," Segal told The Jerusalem Post. The extortion message reportedly leverages shock and urgency to pressure payment.
Industry context
Editorial analysis: Deepfake-enabled social engineering that combines live interaction with post-hoc face-replacement increases the psychological leverage available to extortionists. Attackers who reuse real video frames or partially real interactions typically produce artifacts that are harder for nontechnical victims to dismiss, which can raise successful extortion rates and complicate rapid verification by recipients and platforms.
What to watch
Observers should track reports of similar incidents in other jurisdictions, any law-enforcement advisories, and whether payment channels or platforms used by perpetrators show patterns that enable tracking. Security teams and forensics practitioners will monitor whether the attackers adopt fully generative synthetic scenes or continue to rely on targeted face-replacement workflows, since detection and attribution techniques differ between those approaches.
Scoring Rationale
A single-source cybersecurity CEO warning about a targeted deepfake sextortion scheme affecting high-net-worth individuals - relevant to AI security practitioners as an escalation pattern, but limited by thin sourcing (one expert, one outlet) and a narrow target demographic. Fits the Solid tier rather than Notable.
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