SECSEC-001 — Model Security Vulnerabilities
Model Extraction Attack Enables Competitor to Clone Proprietary AI System
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Adversaries can replicate a proprietary large language model's capabilities by querying it repeatedly and training a substitute on its outputs. Organisations lose competitive advantage and face regulatory exposure if extracted models are deployed without equivalent compliance controls.
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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