From Privacy to Workflow Integrity: Communication-Graph Metadata in Autonomous Agent Interoperability 文章

ArXiv CS.AI2026-06-08NEWSen作者: Bijaya Dangol

详细信息

来源站点
ArXiv CS.AI
作者
Bijaya Dangol
文章类型
NEWS
语言
en
发布日期
2026-06-08

摘要

arXiv:2606.07150v1 Announce Type: cross Abstract: Agent-interoperability protocols such as A2A and MCP standardize what agents say to one another, but assume address-based transport over HTTP(S). Such transports protect message content, increasingly with end-to-end encryption. What they leave in the clear is the communication graph: which agent contacts which, when, and how often. In agent systems this graph is more consequential than a privacy framing suggests. Endpoints are often capability-labeled, workflows are structured and chained, and interactions are coupled to real actions, so an observer recovers more than past relationships. It can infer the pending workflow, the task being assembled and the action likely to follow. At machine speed, it can act on that inference before the workflow completes. The threat is therefore one of workflow integrity, not privacy alone: predictive leverage over autonomous action. We give a threat model for the agent communication graph;

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