AI incident #1206 ·

Purported AI-Generated Deepfake of Spiritual Leader Sadhguru Used in Investment Scam Allegedly Defrauding Bengaluru Woman of ₹3.75 Crore (~$425,000)

Open on the AI Incident Database 2 news reports Synced from the AIID API · record last edited 7 Sep 2026

What happened

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's notes (AI Incident Database)

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.

Only the incident metadata is stored here. The underlying news reports are on the AI Incident Database (CC BY-SA 4.0); use the links above to read them.

News reports (2)

Coverage catalogued by the AI Incident Database. Titles link to the original publisher; the text is not reproduced here.

  1. Bengaluru woman defrauded out of Rs 3.75 crore with Sadhguru’s deepfake video: police
    indianexpress.com · Express News Service, The Indian Express · AIID #6209

Who was involved

Alleged harmed party
Women and girls Women Victims of investment scams Victims of impersonation scams Unnamed 57-year-old woman in Bengaluru targeted by scammers impersonating Sadhguru Sadhguru Jaggi Vasudev General public of India General public of Bengaluru General public Epistemic integrity
On AIID: Women and girls, Women, Victims of investment scams, Victims of impersonation scams, Unnamed 57-year-old woman in Bengaluru targeted by scammers impersonating Sadhguru, Sadhguru Jaggi Vasudev, General public of India, General public of Bengaluru, General public, Epistemic integrity

AI systems implicated

ZoomWhatsAppSynthetic media generation technologySynthetic audio generation technologyMirroxInstagramDeepfake technology

Classification (MIT AI Risk Repository taxonomy)

Causal entity
Human
Intent
Intentional
Timing
Post-deployment
Harm level
Sectors
Countries

Risk entries describing this failure mode

Entries from the MIT AI Risk Repository coded to subdomain 4.3.

  • Impersonation/identity theft

    "Impersonation/identity theft - Theft of an individual, group or organisation’s identity by a third-party in order to defraud, mock or otherwise harm them."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • IP/copyright loss

    "IP/copyright loss - Misuse or abuse of an individual or organisation’s intellectual property, including copyright, trademarks, and patents."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Dehumanisation/objectification

    "Dehumanisation/objectification - Use or misuse of a technology system to depict and/or treat people as not human, less than human, or as objects."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Defamation/libel/slander

    "Defamation/libel/slander - Use of a technology system to create, facilitate or amplify false perception(s) about an individual, group, or organisation."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Financial and business

    "Financial and Business - Use or misuse of a technology system in a manner that damages the financial interests of an individual or group, or which causes strategic, operational, legal or financial harm to a business or...

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Cheating/plagiarism

    "Cheating/plagiarism - Use of another person’s or group’s words or ideas without consent and/or acknowledgement."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Cybersecurity

    "LLMs may exacerbate cybersecurity risks in various ways (Newman, 2024). Firstly, LLMs may significantly amplify the effectiveness of deceptive operations aimed at tricking people into disclosing sensitive information or...

    Foundational Challenges in Assuring Alignment and Safety of Large Language Models (Anwar2024)

  • Domain-Specific Misuses

    "Improvements in LLMs may exert greater pressure to apply LLMs to various domains, such as health and education (Eloundou et al., 2023). Crude efforts to use LLMs in such domains, however, may incur harm and should be di...

    Foundational Challenges in Assuring Alignment and Safety of Large Language Models (Anwar2024)

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