In the EU project MARE, a novel plane was proposed and used in combination with intent-based networking (IBN), allowing the operator to focus on what, rather than on how. Recently, LLMs have been successfully employed to translate the high-level intents into low-level actions. The open challenge is to understand how IBN can be effectively enhanced with LLM and the emerging agentic AI for security purposes. Enhancing IBN with an agentic AI paradigm introduces significant challenges that existing solutions do not fully address. This paper proposes an enhanced IBN framework with a strong security focus toward agentic AI. We address the architectural and security requirements for a multi-agent intent-based system (IBS) architecture, including a multi-domain IBN. We propose a hierarchical multi-agent and multi-vendor architecture that can also be applied more broadly in 6G architectures and beyond, beyond the security architecture proposed in MARE. The architecture incorporates an interactive intent-processing pipeline using LLMs, and it also allows the IBS to connect to external security knowledge bases, such as MITRE ATT\&CK, MITRE FiGHT, and NIST.

翻译：在欧盟MARE项目中，提出了一种新型平面架构并与意图驱动网络相结合，使操作者能够聚焦于“做什么”而非“如何做”。近年来，大语言模型已被成功应用于将高层次意图转化为低层次操作。当前面临的开放挑战在于：如何利用LLM及新兴中智体AI有效增强意图驱动网络以实现安全目标。采用中智体AI范式增强意图网络时，现有解决方案无法完全解决由此引发的重大挑战。本文提出了一种以安全为核心、面向中智体AI的增强型意图网络框架，系统阐述了面向多智能体意图系统的架构与安全需求（包括多域意图驱动网络）。我们提出了一种层次化多智能体多厂商架构，该架构可超越MARE项目提出的安全方案，更广泛地适用于6G及未来通信架构。该架构采用基于LLM的交互式意图处理流水线，同时允许意图系统连接外部安全知识库，如MITRE ATT&CK、MITRE FiGHT及NIST。