SECSEC-001 — Model Security Vulnerabilities
Adversarial AI Agents Engineered to Break Safety Controls in AI Assistants
4/5Sector: DefenceGeography: GlobalStage: OperateIngested: —
Executive Summary
Attackers are developing AI agents explicitly trained to discover and exploit vulnerabilities in AI safety mechanisms, bypassing built-in controls. As assistants gain multimodal and agentic capabilities in defence contexts, successful circumvention poses extreme operational and security risks.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — The Ethics of Advanced AI Assistants (Gabriel2024) ↗https://airisk.mit.edu/
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