SECSEC-001 — Model Security Vulnerabilities
Generative AI Enables Identity Theft and Impersonation Fraud
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Generative AI tools are being exploited by third parties to steal and replicate individual or organisational identities for fraudulent or harmful purposes. Boards face direct exposure to reputational damage, regulatory liability, and financial loss where identity controls fail to account for AI-enabled deception.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025) ↗https://airisk.mit.edu/
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