SECSEC-001 — Model Security Vulnerabilities
LLM Misuse Enabling Academic Misconduct
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Large language models are being exploited to commit academic fraud, undermining assessment integrity across educational and professional certification contexts. Organisations relying on credentialled talent face reputational and compliance exposure as qualification validity becomes harder to assure.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024) ↗https://airisk.mit.edu/
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