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AI is no longer confined to the cloud. From AI applications to real-time inference at the edge, today’s AI-driven world is fundamentally reshaping how enterprises design, secure, and operate their branch networks. Yet, many companies remain constrained by legacy router-centric architectures, fragmented WAN and LAN solutions, limited visibility, and incomplete Zero Trust enforcement.
As AI traffic grows and edge workloads expand, these limitations create performance bottlenecks, security gaps, and operational complexity that slow innovation. Join this broadcast to learn how autonomous, context-aware edge infrastructure is redefining networking for the AI era. This episode will explore:
- Why traditional SD-WAN and “coffee shop” gateway models fall short in the AI era
• How AI applications, IoT, and edge inference demand resilient networks
• What it takes to extend Zero Trust across WAN, LAN, and cloud to defend against AI-driven threats
• How AI-powered operations improve visibility, reduce MTTR and simplify troubleshooting