Purported AI-Generated Deepfake of Infosys Co-Founder N. R. Narayana Murthy Used in Investment Scam Allegedly Defrauding 79-Year-Old Bengaluru Woman of ₹35 Lakh (~$40,000)

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.

Risk classification

• Primary risk domain: 4 Malicious actors
• Primary risk subdomain: 4.3 Fraud, scams, and targeted manipulation

The incident describes fraudsters using deepfake videos of a prominent figure to run a targeted financial scam, which directly aligns with sub-domain 4.3.

Causal factors

• Entity: Human
• Intent: Intentional
• Timing: Post-deployment

The scam was intentionally executed by human fraudsters who utilized deployed deepfake technology to deceive the victim.

EU AI Act risk tier

• Risk tier: 3 Limited Risk

Risk Level 3: Limited Risk. The incident involves 'AI-generated content such as deepfakes' which requires transparency obligations under the EU AI Act.

AI system and alleged parties

• AI system: unspecified
• AI purpose: Deepfake Video Generation; Voice Generation
• Behaviour type: Tool
• Alleged developer: Unknown voice cloning technology, Unknown deepfake technology
• Alleged deployer: Unknown scammers impersonating N. R. Narayana Murthy, Unknown scammers
• Alleged harmed parties: N. R. Narayana Murthy, Investors, General public of India, General public, Elderly investors, Elderly individuals, Archana

Harm severity

Severity ratings are based on this scale.

Highest direct severity in any category: Minor. Severity is scored from Negligible to Catastrophic in each harm category, for harm the reports describe as caused directly or indirectly by the AI system.

• Physical: direct Negligible, indirect Negligible
• Infrastructure: direct Negligible, indirect Negligible
• Property: direct Negligible, indirect Negligible
• Financial: direct Negligible, indirect Minor
• Environmental: direct Negligible, indirect Negligible
• Malicious content: direct Minor, indirect Negligible
• Differential treatment: direct Negligible, indirect Negligible
• Civil rights: direct Negligible, indirect Negligible
• Democracy: direct Negligible, indirect Negligible
• Privacy: direct Negligible, indirect Negligible
• Psychological: direct Negligible, indirect Minor
• Epistemic: direct Minor, indirect Negligible
• Child sexual exploitation and abuse: direct Negligible, indirect Negligible

Financial

Reported: Yes, the report explicitly describes a total financial loss of approximately Rs 34.6 lakh (nearly Rs 35 lakh) for the single occurrence described.

Indirectly caused: The victim lost Rs 34.6 lakh (approximately $41,500 USD) after being deceived by the deepfake video and subsequently manipulated by scammers over eight months.

Malicious content

Reported: Yes, the report describes the creation and distribution of malicious deepfake videos of N. R. Narayana Murthy used to promote a scam.

Directly caused: The fraudsters created and uploaded deepfake videos of Infosys co-founder N. R. Narayana Murthy to Facebook to deceive users.

Inferred additional harm: It is likely that these deepfake videos reached thousands of other Facebook users, exposing them to the malicious content.

Psychological

Reported: Yes, the report describes psychological distress caused by extortion and threats.

Indirectly caused: The victim experienced significant distress and anxiety due to being extorted and threatened with a fabricated money-laundering case by the fraudsters.

Inferred additional harm: It is highly likely the 79-year-old victim suffered severe ongoing psychological distress, anxiety, and trauma from losing her life savings and being harassed over eight months.

Epistemic

Reported: Yes, the report describes epistemic harm through the fabrication of deepfake videos of a well-known public figure to mislead the public.

Directly caused: The creation of deepfake videos of N. R. Narayana Murthy falsely endorsing a trading platform misled the victim into believing the platform was legitimate.

Inferred additional harm: The widespread dissemination of deepfakes of trusted public figures erodes general public trust in online information and video authenticity.

People affected

• Occurrences reported: 1
• People reportedly harmed: 1
• People reportedly exposed: 1

Potential causes

Management

• Inadequate Platform Moderation: Social media management failed to detect and remove deepfake scam ads.

Technology

• Deepfake Video Generation: Deepfake videos of Narayana Murthy were used to endorse the fake platform.
• Fake Trading Website: Professional-looking website displayed fake stock and crypto updates.

Data Inputs

• Fraudulent Ad Content: Facebook advertisement promoted the scam using manipulated media.

Human Factors

• Trust in Deepfake Endorsements: Victim trusted the platform due to realistic celebrity deepfakes.
• Social Engineering Vulnerability: Victim was manipulated by fake financial managers over WhatsApp.

Process and Methods

• Flawed Ad Review Process: Facebook allowed fraudulent AI-based trading ads to run on its platform.
• Impersonation Tactics: Scammers used fake credentials and UK numbers to appear legitimate.

Regulatory Environment

• Lack of Deepfake Regulation: Absence of strict regulations on AI-generated deepfakes in advertising.

Information quality

• Classification confidence: High
• Reason for confidence: The report provides a clear, detailed account of how the scam was executed, the specific role of the deepfake video, the timeline of events, and the exact financial loss suffered by the victim. There is little ambiguity regarding the events or the classification.
• Ambiguities identified: The specific AI tool or platform used to generate the deepfake videos is not identified.
• Alternative interpretations: None. This is a classic deepfake-enabled financial scam.

An individual in India was defrauded of Rs 35 lakh in a scam leveraging deepfake videos of a prominent business figure. The incident highlights the growing threat of AI-enabled social engineering and financial fraud, but carries minor national security implications, manageable through standard law enforcement and cybercrime procedures.

• Overall national security impact: Minor
• Scope: Single nation
• Primary target: India
• Alleged perpetrator: Unknown

Threat characteristics

• Imminence: Long-term. Represents an ongoing, strategic cybercrime threat of deepfake-enabled fraud rather than an active, imminent national security crisis.
• Autonomy: Human-controlled. AI was used as a tool to generate deepfake videos, while human scammers manually coordinated the communication, fake website, and extortion.
• Novelty: Established threat. Deepfake-enabled financial fraud and social engineering scams are well-established tactics globally.

Impact by dimension

• Physical security: Negligible. The incident is a financial scam targeting an individual and does not involve kinetic systems, autonomous weapons, or critical infrastructure.
• Information security: Minor. Involves a deepfake video of a prominent business figure. While demonstrating synthetic media capabilities, it was used for localized financial fraud rather than state-sponsored intelligence or information warfare.
• Sovereignty: Negligible. No government decision-making, electoral systems, or sovereign functions were targeted or disrupted.
• Economic security: Minor. Results in an individual financial loss of approximately Rs 35 lakh. While tragic for the victim, it does not threaten national financial systems or strategic technologies.
• Societal stability: Minor. Represents targeted fraud and psychological extortion of an individual, but does not scale to population-level civil unrest or systemic human rights violations.