Rethinking Agent Security as a Networking Problem

Abstract

AI agents are rapidly becoming more capable and widely deployed, promising substantial gains in productivity and enabling new classes of applications. However, their growing autonomy also introduces significant privacy and security risks. Existing defenses are predominantly agent-centric, relying on the agent itself to detect threats and enforce privacy and security policies. This approach is fundamentally limited because it entrusts policy enforcement to AI agents whose LLM-driven behavior is i

Categories

@misc{tran2026rethinking,
  title = {{Rethinking Agent Security as a Networking Problem}},
  author = {Van Tran and Taveesh Sharma and Tajveer Singh Dhesi and Nick Feamster},
  year = {2026},
  month = aug,
  eprint = {2608.12172},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2608.12172}
}