From Cloud-Native to Trust-Native: A Protocol for Verifiable Multi-Agent Systems
Abstract
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.
Cite
@article{arxiv.2507.22077,
title = {From Cloud-Native to Trust-Native: A Protocol for Verifiable Multi-Agent Systems},
author = {Muyang Li},
journal= {arXiv preprint arXiv:2507.22077},
year = {2025}
}
Comments
14 pages, 2 figures. Vision paper and protocol blueprint. No prior submission or publication