How do we prevent AI agents from going rogue? It starts with a new kind of measurement | Bruce Schneier and Barath Raghavan
TL;DR
Like genies of folklore, AI agents take their instructions literally – to potentially disastrous effect. We must track their ability to do what we actually mean In July, Hugging Face, a company that hosts much of the world’s AI software and open-source AI models, was hacked. A malicious dataset had been used to run code on one of its servers.
Nauti's Take
Small teams should build an intent-fidelity test suite before running agents in production. Include ambiguous instructions, sensitive data, credential access, and stop conditions, then log every action under tightly scoped permissions.
The available report does not independently verify that OpenAI’s model was responsible, so the attribution should be treated cautiously.
Sources
22.7.26