SECSEC-001 — Model Security Vulnerabilities
Large-Scale Web Scraping Exposes AI Training Data to Poisoning and Toxic Content
3/5Sector: OtherGeography: GlobalStage: DevelopIngested: —
Executive Summary
Mass web scraping for AI training datasets creates material vulnerability to data poisoning, backdoor attacks, and toxic content ingestion. Boards face unquantifiable model integrity risk when quality filtering at scale either fails or forces significant data loss.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024) ↗https://airisk.mit.edu/
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