SECSEC-001 — Model Security Vulnerabilities
LLM Systems Expose Organisations to Third-Party API Trust and Privacy Failures
3/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Large language models integrated with external web APIs inherit unverified data sources and privacy vulnerabilities that the host organisation cannot directly control. Boards face regulatory exposure and reputational liability when third-party tool failures propagate through AI-powered products.
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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