ANT: A Multi-Granularity Network Traffic Dataset and Benchmark for Agents Behavior Auditing

Excerpt

arXiv:2610.06514v1 Announce Type: new Abstract: The growing adoption of large language model (LLM) agents creates a need for network administrators and security teams to audit agent behavior within organizational networks without inspecting private user content. Network traffic offers an observable source of evidence, but how much it reveals about agent tasks and operations remains unclear. Existing traffic datasets lack the joint task and stage annotations needed to evaluate this question. We i