标题： 从云原生到信任原生：一种可验证多智能体系统的协议 显示英文标题

标题： From Cloud-Native to Trust-Native: A Protocol for Verifiable Multi-Agent Systems

摘要： 随着由大型语言模型（LLMs）驱动的自主代理在高风险领域——从制药到法律工作流程——日益普及，挑战不再仅仅是智能性，而是可验证性。 我们引入TrustTrack，一种将结构保障——可验证身份、政策承诺和抗篡改的行为日志——直接嵌入代理基础设施中的协议。 这使得一种新的系统范式成为可能：信任原生的自主性。 通过将合规性作为设计约束而非事后监督， TrustTrack重新定义了智能代理在组织和司法管辖区之间的运作方式。 我们展示了协议设计、系统需求和受监管领域的用例，如制药研发、法律自动化和 AI原生协作。 我们认为，从云到AI再到代理和信任的转变代表了自主系统的下一个架构层。 显示英文摘要

摘要： As autonomous agents powered by large language models (LLMs) proliferate in high-stakes domains -- from pharmaceuticals to legal workflows -- the challenge is no longer just intelligence, but verifiability. We introduce TrustTrack, a protocol that embeds structural guarantees -- verifiable identity, policy commitments, and tamper-resistant behavioral logs -- directly into agent infrastructure. This enables a new systems paradigm: trust-native autonomy. By treating compliance as a design constraint rather than post-hoc oversight, TrustTrack reframes how intelligent agents operate across organizations and jurisdictions. We present the protocol design, system requirements, and use cases in regulated domains such as pharmaceutical R&D, legal automation, and AI-native collaboration. We argue that the Cloud -> AI -> Agent -> Trust transition represents the next architectural layer for autonomous systems.