SECSEC-001 — Model Security Vulnerabilities
Malicious Training Data Injection Causes AI System to Learn Unintended Behaviour
4/5Sector: OtherGeography: GlobalStage: DevelopIngested: —
Executive Summary
Adversarial actors can corrupt AI training datasets, causing models to embed harmful or manipulated behaviour at source. Boards must ensure procurement and data governance controls address supply-chain integrity before model deployment.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — AI Hazard Management: A Framework for the Systematic Management of Root Causes for AI Risks (Schnitzer2024) ↗https://airisk.mit.edu/
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