SECSEC-001 — Model Security Vulnerabilities
Synthetic Identity Generation Enables Mass Deception at Scale
4/5Sector: TechnologyGeography: GlobalStage: OperateIngested: —
Executive Summary
Generative AI produces photorealistic fake personas indistinguishable from real individuals, enabling fraudulent accounts, influence operations, and social engineering attacks. Boards face material exposure through regulatory scrutiny, reputational liability, and platform integrity failures as synthetic identity abuse accelerates.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — GenAI against humanity: nefarious applications of generative artificial intelligence and large language models (Ferrara2023) ↗https://airisk.mit.edu/
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