AIBlindspot
← All case studies
SECSEC-002 — Data Poisoning Attack Risks

Frontier AI Lowers Barrier to CBRNE Weapon Development

5/5Sector: DefenceGeography: GlobalStage: OperateIngested: —

Executive Summary

Advanced AI systems may provide actors with actionable capability to develop chemical, biological, radiological, nuclear, or explosive weapons, materially reducing the technical barriers previously limiting such threats. Boards must treat this as a critical national security exposure requiring immediate supply-chain controls and mandatory government disclosure obligations.

Domain

Security & Privacy

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

Source

MIT AI Risk Repository — Frontier AI Risk Management Framework (v1.0) (Tse2025) ↗

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.