The field of 6G network research is rapidly advancing, with a focus on developing innovative solutions for network security and channel characterization. Recent studies have highlighted the importance of autonomous security operations and low-latency monitoring systems for detecting and mitigating threats in 6G networks. Additionally, there is a growing interest in characterizing wireless channels in various environments, including indoor and outdoor settings, to improve network design and performance. Notable papers in this area have presented novel frameworks for automated threat mitigation, low-latency monitoring systems, and advanced channel sounding systems. These developments have the potential to significantly enhance the security and efficiency of 6G networks. Noteworthy papers include: MobiLLM, which presents an agentic AI framework for fully automated threat mitigation in 6G O-RAN environments. LTag, which proposes a low-latency, operator-independent, and scalable system for monitoring cellular connections. Diffusion^2, which introduces a diffusion-based approach for modeling RF signal propagation in complex environments.