SECSEC-001 — Model Security Vulnerabilities
Generative AI Enables Scaled Malware, Phishing and Model Poisoning Attacks
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Generative AI lowers the barrier for malicious actors to draft malware, conduct phishing at scale, and poison training datasets with corrupted data. Boards face materially expanded cyber liability and disclosure obligations as novel attack vectors emerge faster than existing controls can address them.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — Generating Harms - Generative AI's impact and paths forwards (EPIC2023) ↗https://airisk.mit.edu/
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