Scalable Secure Platform for XR

Today, interest in real-time immersive interaction in training and remote collaboration applications requires scalable and secure platforms. In this paper, a distributed microservices-based architecture is presented to support high-performance and low-latency interactions over 5G networks. The system integrates essential key technologies such as Nakama for secure authentication, MageAI pipelines for efficient data processing, and WebSocket-based communication for real-time interactiv-ity. The platform is designed to support high availability and scalability, based on containerized deployments, load balancing, and fault-tolerant mechanisms. In addition, security aspects are integrated at multiple levels, ensuring protected user authentication, ensuring a balance between usability and security, enabling real-time user engagements while maintaining a robust security posture. Furthermore, by embedding DevSecOps principles into the platform’s development lifecycle through Kubescape, we have established a security-first approach—ensuring that security is proactively integrated rather than reactively mitigated. While existing literature primarily focuses on security methods such as encryption, our approach not only prioritizes security monitoring and proactive risk assessment, but also introduces adaptive learning capabilities through MageAI, fostering a user-friendly and dynamically secured environment that evolves alongside emerging threats. Although the system is designed and structured to support immersive applications such as VR training environments, its flexible design enables adaptation to various interactive real-time scenarios. This work contributes to a modular, secure, and high-performance infrastructure, establishing a strong foundation for seamless integration into next-generation immersive applications. Future work will focus on integrating the Virtual Reality Training application into the platform architecture to validate the capabilities of the system.