AI-Enhanced Zero-Trust Security for IoT-Enabled Telecom Networks

The rapid expansion of Internet of Things (IoT) devices in telecom networks has introduced new attack vectors, increasing the urgency for advanced security solutions. This paper proposes a Zero-Trust IoT Security Framework integrating mutual authentication, network micro-segmentation, and AI-driven anomaly detection to address these challenges. The proposed architecture enhances operational security while maintaining network performance, as demonstrated through a simulated case study showing significant improvements in threat detection and incident response times.