Description: A 57-year-old woman in Bengaluru was allegedly defrauded of ₹3.75 crore (~$425,000 USD) after scammers used a purportedly AI-generated deepfake video of spiritual leader Sadhguru to promote a fake investment platform called Mirrox. The victim was reportedly recruited via Instagram and WhatsApp and was persuaded through trading tutorials on Zoom and fabricated profit screenshots. She reportedly realized the fraud only when withdrawals were blocked and additional fees were demanded.
Editor Notes: Timeline note: The reported scam occurred between February 25th to April 23rd, 2025; it was picked up by the press in early-to-mid September 2025.
Entities
View all entitiesAlleged: Unknown deepfake technology developer and Unknown voice cloning technology developer developed an AI system deployed by Scammers impersonating Sadhguru , Waleed B (scammer impersonating Sadhguru) , Michael C (scammer impersonating Sadhguru) and Mirrox, which harmed Unnamed 57-year-old woman in Bengaluru targeted by scammers impersonating Sadhguru , Sadhguru Jaggi Vasudev , General public , General public of India and General public of Bengaluru.
Alleged implicated AI systems: Mirrox , Unknown deepfake technology , Unknown voice cloning technology , Instagram , WhatsApp and Zoom
Incident Stats
Incident ID
1206
Report Count
2
Incident Date
2025-02-25
Editors
Daniel Atherton
Incident Reports
Reports Timeline
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A 57-year-old retired woman in Bengaluru has lost Rs 3.75 crore to scammers who used an AI-generated deepfake video of spiritual leader Sadhguru Jaggi Vasudev to promote fake investment opportunities, the police said on Thursday.
The woman,…
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A 57-year-old resident of CV Raman Nagar in Bengaluru was allegedly defrauded of Rs 3.75 crore after being tricked by fraudsters using an AI-generated deepfake video of spiritual leader Sadhguru.
According to the complaint filed at a cyber …
Variants
A "variant" is an AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
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