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Modern 5G systems are not standalone systems that come from a single vendor or supplier. In fact, it comprises an integration of complex software, hardware, and cloud services that are developed by specialist entities. Moreover, these components have a supply chain that may have linkages and relationships between different vendors. A mobile network operator relies on the functionality and integrity of all the constituent components and their suppliers to ensure the communication network’s confidentiality, integrity, and availability. While the operator can employ cybersecurity best practices itself, it does not have control over the cybersecurity practices of its immediate vendors and the wider supply chain. Recently, attackers have exploited cyber vulnerabilities in the supplier network to launch large-scale breaches and attacks. Hence, the supply chain becomes a weak link in the overall cybersecurity of the 5G system. Hence, it is becoming crucial for operators to understand the cyber risk to their infrastructure, with a particular emphasis on the supply chain risk. In this paper, we systematically break down and analyze the 5G network architecture and its complex supply chains. We present an overview of the key challenges in the cybersecurity of 5G supply chains and propose a systemic cyber risk assessment methodology to help illuminate the risk sources and use it to manage and mitigate the risk. It will guide stakeholders in establishing a secure and resilient 5G network ecosystem, safeguarding the backbone of modern digital infrastructure against potential cybersecurity threats. 

The deployment of fifth-generation (5G) networks across various industry verticals is poised to transform communication and data exchange, promising unparalleled speed and capacity. However, the security concerns related to the widespread adoption of 5G, particularly in mission-critical sectors, present significant challenges. This article investigates the potential of a Zero Trust (ZT) security philosophy as a viable countermeasure to these concerns. It delves into the practicalities of implementing ZT principles within 5G networks, with a specific focus on harnessing AI/ML technologies for proactive security measures, dynamic policy adaptations, and advanced risk assessments. Further, the article underscores the importance of developing a tailored ZT maturity model for 5G networks. Furthermore, the paper outlines key future research directions aimed at improving the ZT maturity of 5G deployments, contributing to the safe and secure integration of 5G technology in various sectors.