Enterprise IT operations have long scaled by adding people.

L1 teams, offshore support, and manual response became the norm. But as infrastructure grows more complex and fast-moving, that model is breaking.

In this episode of the Built for Trust Podcast, Nick Lippis sits down with Assaf Resnick, CEO of BigPanda, to unpack the $250 billion problem behind modern IT operations.

They discuss:

• Why operations still depend on human intervention
• How fragmented systems slow response and increase risk
• What’s driving churn across L1 teams
• How agentic AI is shifting operations from reactive to predictive

They also outline a new model: prevent issues, automate L1, and augment expert teams during major incidents.

If you’re thinking about how AI will reshape enterprise operations, this episode makes it real.

New episodes of the Built for Trust Podcast come out every Thursday. Subscribe to get notified. See you next week!

In this episode of the Built for Trust Podcast, Nick Lippis shares findings from a recent ONUG community survey of senior practitioners managing large-scale, regulated enterprise infrastructure.

The results paint a clear picture: the hype around AI is real, the investment is real, but production deployments are lagging far behind. And the primary reason may be the network itself.

Nick walks through what the data reveals about why governance and compliance have emerged as the top inhibitor to scaling AI, why organizations remain deeply divided on where sensitive AI workloads should live, and why enterprises are deploying agents faster than they are building the infrastructure to support them.

Only 18% of respondents believe their infrastructure roadmap is keeping pace with AI's trajectory. The community knows the stakes. The question is whether they move fast enough to lead or spend the next few years catching up.

If you want to know where enterprise AI actually stands today, the data in this episode tells the real story.

New episodes of the Built for Trust Podcast come out every Thursday. Subscribe to get notified. See you next week!

This episode is part of a six-part sponsored series with Cisco focused on the technologies defining the next era of enterprise networking, with new episodes released each month.

AI infrastructure is entering a new phase, and the shift starts at the silicon layer.

In this episode, Nick Lippis is joined by Cisco leaders Tom Gillis and Nick Kucharewski to explore how advances in networking silicon are redefining enterprise infrastructure as organizations move from experimentation to production.

Programmable silicon, high-performance Ethernet, and distributed system design are enabling a new model where the network becomes the fabric that connects and orchestrates AI workloads across compute, memory, and data. This shift is changing how enterprises think about scale, performance, and control.

The conversation also examines how security and observability are moving into the network itself, along with the need for architectural flexibility as enterprises look to build AI-ready environments without hyperscaler complexity.

New episodes of the Built for Trust Podcast come out every Thursday. Subscribe to get notified. See you next week!

As AI moves beyond the data center into real-world environments, the network is being pushed into entirely new territory.

In this episode of the Built for Trust Podcast, Nick Lippis speaks with Allwyn Sequeira, CEO of Highway 9 Networks, about how AI, mobility, and edge computing are converging to reshape enterprise infrastructure.

They explore why traditional wireless approaches fall short in AI-driven environments, how private and public cellular are emerging as a critical foundation, and what it takes to connect machines, devices, and inferencing systems in real time.

The conversation examines the convergence of IT and OT, the role of AI-native mobile infrastructure, and how agentic AI is driving a shift from automated to more autonomous operations.

As enterprises move from AI experimentation to real-world deployment, the network has to evolve. It must support real-time, distributed intelligence across devices, the edge, and the cloud.

New episodes of the Built for Trust Podcast come out every Thursday. Subscribe to get notified. See you next week!

As AI reshapes enterprise infrastructure, most conversations focus on models, agents, and applications. But beneath it all, the network is being fundamentally redefined.

In this episode of the Built for Trust Podcast, Nick Lippis speaks with Vishal Shukla, Co-Founder and CEO of Aviz Networks, about the two dimensions shaping the future: building networks for AI workloads and using AI to operate them.

They explore how agentic operations are evolving toward autonomy, why the network is emerging as the real bottleneck, and how distributed inference and AI factories are changing performance requirements.

The conversation also tackles build vs. buy decisions in a rapidly evolving landscape, including where to standardize, what to build vs. buy, and how to get started without falling behind.

If you’re navigating AI infrastructure decisions, this episode makes one thing clear: the winners won’t be those who pick the right tools, but those who build systems that can adapt as everything changes.

New episodes of the Built for Trust Podcast come out every Thursday. Subscribe to get notified. See you next week!

AI is moving fast, but most enterprises are still trying to answer a fundamental question: should you build your own AI infrastructure or buy it?

In this episode of the Built for Trust Podcast, Nick Lippis speaks with Todd Nightingale, from Arista, and they break down how leading organizations are approaching that decision and why the answer increasingly comes down to one thing: data.

They explore why many enterprises are starting with token-based models, what is driving the shift toward private infrastructure, and how concerns around data privacy and control are shaping AI strategy. The conversation also goes deeper into what actually creates value in AI systems, why it is not about choosing a model, and how integration, workflows, and access to the right data are becoming the real differentiators.

Beyond infrastructure, they discuss how AI is changing network design, accelerating innovation cycles, and enabling a future of more autonomous operations.

If you are thinking about how to operationalize AI in your organization, this episode offers a clear framework for where to start and what matters most.

New episodes of the Built for Trust Podcast come out every Thursday. Subscribe to get notified. See you next week!

Modern applications generate more operational data than ever before. Microservices architectures, cloud infrastructure, and rapid development cycles have created a world where systems emit massive volumes of logs, metrics, and traces, often far more than teams can realistically analyze.

In this episode of the Built for Trust Podcast, Nick Lippis speaks with Jad Naous, Founder of Grepr, about how the observability landscape is evolving as organizations confront the reality of exponential telemetry growth. From petabytes of system data to rising observability costs, they explore why traditional monitoring approaches are reaching their limits.

Jad explains how identifying application behavior patterns within telemetry streams can massively reduce noise while preserving the signals that matter most. The conversation also looks ahead to a future where AI-powered systems can detect anomalies, surface critical insights, and help operations teams resolve issues before they escalate based upon these application behavior patterns.

New episodes of the Built for Trust Podcast come out every Thursday. Subscribe to get notified. See you next week!

Agentic AI is rapidly moving from experimentation to real enterprise deployments. As organizations begin running hundreds or even thousands of AI agents across hybrid environments, the challenge becomes how to govern them safely at scale.

In this episode of the Built for Trust Podcast, Nick Lippis walks through a demonstration of the ONUG Agentic AI Overlay and the control framework designed to prevent rogue agents from compromising enterprise systems. He explains the six critical controls required to manage identity, data access, infrastructure tools, and cross domain interactions in agentic environments.

If agentic AI is going to scale in the enterprise, it will require more than powerful models. It will require trusted infrastructure and clear governance.

New episodes of the Built for Trust Podcast come out every Thursday. Subscribe to get notified. See you next week!