AIBlindspot
← All case studies
SECSEC-001 — Model Security Vulnerabilities

General-Purpose AI Dual-Use Risk Creates Regulatory Blind Spots

3/5Sector: OtherGeography: GlobalStage: OperateIngested: —

Executive Summary

General-purpose AI systems enable harmful applications alongside beneficial ones, making conventional risk categorisation inadequate. Regulators and boards face enforcement gaps where existing frameworks cannot reliably distinguish acceptable deployment from systemic threat.

Domain

Security & Privacy

Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.

Source

MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025) ↗

https://airisk.mit.edu/

Could this happen in your organisation?

A Velinor AI Audit maps your active AI portfolio against the 50+ blindspots and benchmarks against documented sector failures like this one. A board-ready foresight document in 5 weeks.