---
title: "Toward Standardized Cross-Vendor Agent Tool Trust Management in Autonomous Networks"
source: "arXiv AI/CL/LG（论文）"
source_tier: "t2"
url: "https://arxiv.org/abs/2607.25914v1"
permalink: "https://feed.astralor.com/items/itm_eca95591b7cb01ce75ca597b"
published: "2026-07-28T16:06:41.000Z"
score: 81
channel: "ai"
tags: ["3GPP","AgentToolMO","MnS","NRM","Autonomous Networks","Cross-Vendor Trust Management"]
---

# Toward Standardized Cross-Vendor Agent Tool Trust Management in Autonomous Networks

## AI commentary

> This paper precisely targets a critical yet overlooked pain point as autonomous networks move toward L4-L5: the trust blind spot when agents invoke tools across vendors. The proposed AgentToolMO model, fully leveraging existing 3GPP infrastructure without adding protocol overhead, offers high standardizability. For anyone focused on network automation, AI security, or 3GPP standard evolution, this is a must-read that could directly shape the trust architecture of next-generation mobile networks.

## At a glance

To address the lack of trust visibility when AI agents invoke tools across vendors in L4-L5 autonomous networks, this paper proposes AgentToolMO, an information model based on 3GPP NRM. The model includes a formal trust state machine, damped cascade propagation, cross-vendor notification via MnS, and retroactive impact assessment via dependency graph traversal. Simulations show standardized notifications reduce blast radius from hours to near-real-time, with bounded cascade convergence and sub-linear notification scaling. The framework operates within existing 3GPP infrastructure, offering a standardization path for trustworthy multi-vendor autonomous network management.

## Key points

- Proposes AgentToolMO with a formal trust state machine and damped cascade propagation for cross-vendor trust consistency.
- Leverages existing 3GPP MnS interfaces for cross-vendor trust notifications without new protocols.
- Simulation shows standardized notifications reduce blast radius from hours to near-real-time with bounded cascade convergence.
- Model is compatible with existing NRM framework, providing a viable path for 3GPP standardization.

## Full text

Autonomous Network Levels 4-5 require AI agents to invoke tools across vendor boundaries without human oversight, yet existing management standards lack a standardized mechanism for cross-vendor trust visibility. When a tool from Vendor B is compromised, agents from Vendor A continue invoking it -- unaware of the trust degradation -- causing cascading service impact. We present AgentToolMO, a proposed 3GPP NRM information model for agent tool trust management. The model comprises: a formally defined trust state machine with provable graduated enforcement, damped cascade propagation with bounded convergence, cross-vendor trust notifications via existing Management Services (MnS) interfaces, and retroactive impact assessment through NRM dependency graph traversal. Simulation-based evaluation across multi-vendor topologies shows that standardized cross-vendor notifications reduce blast radius from hours-scale undetected propagation to near-real-time containment bounded by MnS notification delivery, with cascade convergence guaranteed in bounded iterations and sub-linear notification scaling across vendor domains. The framework operates within existing 3GPP management infrastructure, leverages existing protocols, and provides a standardization pathway for trustworthy multi-vendor autonomous network management.

---

Verify against the original before citing; curated by Astral Feed: https://feed.astralor.com/items/itm_eca95591b7cb01ce75ca597b