Prototyping an AI-Driven Cognitive Coordinator for Mapping User Intent to Trustworthiness in 6G Networks

The transition to sixth-generation (6G) mobile networks envisions a fully software-defined, cloud-native architecture that spans from central clouds to far-edge microdata centers. While SDN, NFV, and edge computing unlock unprecedented agility and service diversity, they also enlarge the attack surface and elevate risks to confidentiality, integrity, and availability. Existing security measures in 5G remain fragmented—separate efforts address privacy, resilience, reliability, security, or safety in isolation—and lack a unified metric for end-to-end trust. This paper introduces trustworthiness as a holistic, multi-dimensional metric that aggregates user-specified requirements across five pillars— Safety, Security, Privacy, Resilience, and Reliability—into a single Level of Trustworthiness (LoTw). A proof-of-concept prototype of an AI-driven Cognitive Coordinator that ingests user intents via a chatbot and maps them to LoTw with BERTbased regression heads is presented, validating the proposed formal definition of Trustworthiness towards a truly usercentric and trustworthy 6G network.