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Securing AI Across the Global WAN: Why the Network Has Become the Control Plane
Artificial intelligence has become a native workload of the enterprise WAN. Prompts, embeddings, retrieval pipelines, and autonomous agents now traverse the same global networks as SaaS and APIs—yet they introduce entirely new risk. Traditional security models built around destinations, identities, and static inspection can no longer govern AI traffic. This article explains why AI security must operate inline, within the WAN itself, and outlines the architectural principles r
Feb 10


AI-Assisted Coding: Redefining Software Economics in 2026
AI-assisted coding is redefining how enterprises build, modernize, and govern software. This executive-level analysis from Macronomics explains why AI is now a strategic operating capability—and what business leaders must decide to turn faster code delivery into durable economic advantage.
Jan 22


2025 U.S. State AI Laws: The Complete Guide for Business Leaders and AI COEs
Artificial intelligence is advancing faster than the regulations designed to govern it, and in 2025 every U.S. state is now shaping its own approach. While Congress debates national standards, state lawmakers have already enacted a patchwork of AI laws that directly impact how businesses can build, deploy, and manage AI systems. From Utah’s generative AI disclosures to Colorado’s high-risk governance requirements and Texas’s new oversight frameworks, the regulatory landscape
Nov 24, 2025
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