SECSEC-001 — Model Security Vulnerabilities
LLMs Enabling Novice Hackers to Generate and Customise Malware
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Large language models lower the technical barrier to malware creation, allowing inexperienced actors to produce and fine-tune malicious code at scale. Boards must treat generative AI as an active threat multiplier within their cyber security risk frameworks.
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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