Trustworthy Agent Network: Trust in Agent Networks Must Be Baked In, Not Bolted On

The transition from isolated AI agents to collaborative Agent-to-Agent (A2A) networks introduces systemic vulnerabilities that traditional alignment techniques cannot solve. Researchers argue that trustworthiness must be architected into the core of A2A frameworks from the very beginning rather than retrofitted later.
Computer Science > Artificial Intelligence
Title:Trustworthy Agent Network: Trust in Agent Networks Must Be Baked In, Not Bolted On
View PDF HTML (experimental)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 the very beginning of the A2A coordination framework. We present a comprehensive conceptual framework that situates trust in A2A systems through four design pillars.
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Source: arXiv cs.AI Recent














