CYBERSECURITY IN CLOUD-NATIVE SUPPLY CHAIN SOLUTIONS: AN ARCHITECTURAL PERSPECTIVE

Abstract

The rapid adoption of cloud-native architectures, including microservices, service meshes, and serverless computing, has significantly transformed supply chain management systems. These architectures provide scalability, flexibility, and resilience, enabling organizations to enhance operational efficiency. However, they also introduce unique cybersecurity challenges due to their dynamic nature, distributed services, and complex inter-service communications. This paper analyses the security implications of these architectures in the context of supply chain management. It evaluates the strengths and limitations of each model and compares their effectiveness in mitigating security risks. The study highlights that while microservices offer modularity, service meshes enhance security through encryption and policy enforcement, and serverless computing simplifies infrastructure management, each architecture requires careful security strategies. The paper concludes by recommending a hybrid approach, integrating microservices with service meshes and serverless components, to achieve optimal security and performance. Future research should focus on real-world case studies, cost-performance analysis, and the integration of AI-driven security automation.