SECSEC-001 — Model Security Vulnerabilities
Generative AI Enables Personalised Spear Phishing at Scale
4/5Sector: TechnologyGeography: GlobalStage: OperateIngested: —
Executive Summary
Large language models, exploited via jailbreaking, allow adversaries to automate highly convincing personalised fraud that significantly increases attack success rates. Boards face heightened liability exposure and reputational risk as existing cyber controls prove insufficient against AI-generated social engineering.
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/
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.