Securing AI Agents Like Operating Systems: OS Security Lens Reveals Agent Protection Failures

arXiv·medium signal

Researchers applied decades of OS security principles (resource isolation, privilege separation) to four widely-used LLM agent systems and found several protection mechanisms fail in practice even with modest attacker capabilities. The key insight: many agent vulnerabilities map directly to solved OS security problems, but require 'detailed system knowledge and careful configuration' that most agent deployments lack. Practitioners should audit agent deployments using OS threat models.