Trustworthy Agent Network: Trust in Agent Networks Must Be Baked In, Not Bolted On
Yixiang Yao, Yuhang Yao, Xinyi Fan, Jiechao Gao, Jie Wang, Minjia Zhang, Srivatsan Ravi, Carlee Joe-Wong

TL;DR
This paper emphasizes that trustworthiness in agent-to-agent networks with autonomous language models must be integrated from the outset, not added later, to ensure systemic reliability and security.
Contribution
It introduces a comprehensive conceptual framework with four design pillars for building trustworthy A2A networks from the ground up.
Findings
Existing trust techniques are insufficient for A2A networks.
Systemic vulnerabilities include adversarial composition and cascading failures.
Trust must be architected into the design of A2A systems from the beginning.
Abstract
The rapid advancement of Large Language Models has given rise to autonomous LLM-based agents capable of complex reasoning and execution. As these agents transition from isolated operation to collaborative ecosystems, we witness the emergence of the Agent-to-Agent (A2A) network, a paradigm where heterogeneous agents autonomously coordinate to solve multi-step tasks. While these networks may offer better task performance compared to simply using one agent to complete the entire task, they introduce systemic vulnerabilities, such as adversarial composition, semantic misalignment, and cascading operational failures, that existing agent alignment techniques cannot address. In this vision paper, we argue that the trustworthiness of A2A networks cannot be fully guaranteed via retrofitting on existing protocols that are largely designed for individual agents. Rather, it must be architected from…
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