Is Your Network Ready for AI? A Practical Evaluation Framework

This blog post presents a six‑part evaluation framework to determine network readiness for AI, covering performance under high-volume and latency-sensitive workloads, exposure to side‑channel risks, resilience in real‑world network conditions, transport‑layer Zero Trust, stealth/unobservability, and scalability across edge and cloud environments. It concludes legacy fixed-tunnel architectures and discoverable control planes are inadequate for AI workloads and recommends adopting AI-native transport architectures.