Descripción: A 79-year-old woman ("Archana") in Bengaluru was reportedly defrauded of ₹35 lakh (~$40,000) in a purportedly AI-enabled investment scam that used deepfake videos of Infosys co-founder N. R. Narayana Murthy to promote a fake trading platform. The scammers allegedly built a convincing website and pressured the victim over eight months to make escalating payments. They allegedly later attempted extortion by threatening her with a fake money-laundering case before police became involved.
Editor Notes: Timeline note: This scam reportedly took place over an eight-month period leading up to June 2025, during which the victim was alleged to have been repeatedly contacted and defrauded. Because the Times of India article documenting the incident was published on 06/27/2025, that date is used for the incident ID. It was added to the AI Incident Database on 10/19/2025.
Entidades
Ver todas las entidadesAlleged: Unknown voice cloning technology y Unknown deepfake technology developed an AI system deployed by Unknown scammers impersonating N. R. Narayana Murthy , Unknown scammers y Unknown fraudsters, which harmed N. R. Narayana Murthy , Investors , General public of India , General public , Elderly investors , Elderly individuals y Archana.
Sistemas de IA presuntamente implicados: Unknown voice cloning technology , Unknown deepfake technology , WhatsApp , Social media , Fake trading platform y Facebook
Estadísticas de incidentes
ID
1240
Cantidad de informes
1
Fecha del Incidente
2025-06-27
Editores
Daniel Atherton
Informes del Incidente
Cronología de Informes
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BENGALURU: A 79-year-old woman from Seshadripuram, central Bengaluru, lost nearly Rs 35 lakh to fraudsters operating a sophisticated artificial intelligence (AI) trading scam. The gang not only cheated her of her savings over eight months b…
Variantes
Una "Variante" es un incidente de IA similar a un caso conocido—tiene los mismos causantes, daños y sistema de IA. En lugar de enumerarlo por separado, lo agrupamos bajo el primer incidente informado. A diferencia de otros incidentes, las variantes no necesitan haber sido informadas fuera de la AIID. Obtenga más información del trabajo de investigación.
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