AI is moving out of prototype mode and into production. In this episode of the AI Proving Ground Podcast, recorded live at NVIDIA GTC, leaders from Cisco, NVIDIA and WWT unpack the real job in front of enterprise executives: how to scale agentic AI, secure AI factories, manage token economics and prepare infrastructure for an inference-heavy future.

As enterprises move AI from experimentation to production, security failures are no longer isolated incidents—they are systemic risks embedded deep in infrastructure, data flows, and decision-making systems. In this episode of the AI Proving Ground Podcast, WWT's Istvan Berko, Cisco's DJ Sampath and NVIDIA's Ofir Arkin discuss why as AI becomes core infrastructure, security becomes the mechanism that determines whether that infrastructure scales or undermines itself.

Cisco's Nicolas Sagnes and World Wide Technology's Bob Watson outline why the next generation of AI infrastructure must be engineered as a secure, observable, full-stack system — and why enterprises relying on pilots risk falling behind.

In this episode of the AI Proving Ground Podcast, WWT Co-founder and CEO Jim Kavanaugh and Cisco President Jeetu Patel break down the real constraints shaping the AI era and explore why platforms will define the next decade of enterprise innovation. They'll also talk about how secure, scalable architectures enable organizations to innovate confidently and compete at AI speed.

Cisco Secure Access serves as an integrated platform that provides the necessary infrastructure for organizations to govern and protect their artificial intelligence usage through centralized policy management. By embedding AI Access capabilities directly into the solution, it allows businesses to maintain robust security, visibility, and data protection while fostering innovation across the enterprise.