How GTT Builds Networking And Security As A Service For The AI Era

Interested in being a guest? Email us at [email protected] is everywhere right now, but the hard part is turning dozens of pilots into durable systems that actually run a business. We sit down with Tom, SVP of Product Management at GTT, to unpack what changes when enterprises move from “testing AI” to deploying agentic AI at scale across thousands of sites, users, and applications.We start with how GTT thinks about networking and security as a service, and why the promise is not just bandwidth or a product SKU but a simpler experience that helps customers connect, secure, and simplify. Tom explains the Envision platform and how it spans the edge, the core IP backbone, and public cloud so teams can deliver consistent connectivity, SD-WAN, and security outcomes while preparing for new AI workloads that increasingly want compute closer to the premises.Then we get practical about what agentic AI requires: data readiness, trustworthy context, and APIs that let agents act safely without constant human validation. We talk frameworks versus one-time deployments, why vendor lock-in is riskier in a fast-changing AI cycle, and how an “AI factory” mindset brings manufacturing discipline to data pipelines, orchestration, validation, deployment, and continuous improvement.We also share real internal examples, including a cash application agent that helps match remittances to invoices across messy real-world variations, plus how GPU infrastructure supports operational intelligence and proactive network issue detection. If you care about enterprise AI, SASE and SSE, edge computing, and building a scalable agentic architecture, this conversation is built for you. Subscribe, share with a teammate, and leave a review, what part of your AI foundation needs the most work right now?Support the showMore at https://linktr.ee/EvanKirstel