Cisco Live 2026: The Agentic Era Is Moving from Vision to Production

Quick Point of View

Cisco Live Las Vegas 2026 made one thing clear: the agentic era is no longer theoretical. Organizations are rapidly moving beyond experimentation and asking how to operationalize AI at scale. The new competitive moat is becoming clear – secure, network – native, operable infrastructure that can support AI in production environments.

The conversations across the event reinforced that enterprises are shifting focus from “what AI can do” to “how AI can reliably run.”

What the Gruve Team Saw and Heard at Our Booth in AI Village

The energy across AI Village, customer meetings, partner discussions, and networking events reflected strong ecosystem momentum around enterprise AI adoption.

Across conversations, a few themes consistently surfaced:

• “How do we make this real in production – not just another pilot?”
• “Who owns and operates AI day 2?”
• “How do we manage security, governance, and cost predictability?”

Customers and partners repeatedly highlighted the same operational concerns:

• Privacy and guardrails
• Runtime security and governance
• Predictable token economics
• Time – to – production
• Operational ownership after deployment

What stood out most was that organizations are no longer debating whether AI matters. They are actively searching for scalable operating models that allow them to deploy AI safely, efficiently, and sustainably.

Keynote Signals: What We Heard from Cisco Leadership

Several themes from Cisco leadership aligned closely with what we were hearing directly from customers.

AgenticOps and a New Operating Model for Managing Infrastructure

Cisco’s messaging around AgenticOps, Cloud Control and Adoption of Cloud like Infrastructure operational model pointed toward a future where AI infrastructure requires unified visibility, orchestration, and automated action across the stack.

As AI environments become more distributed and dynamic, enterprises will need operational models that can continuously adapt in real time.

Runtime Security Is Becoming Foundational

A recurring message throughout the event was that traditional security approaches are no longer sufficient for AI – native environments.

Patching alone cannot keep pace with evolving AI workloads and threat surfaces. Runtime security, observability, and policy enforcement are quickly becoming baseline requirements for production AI infrastructure.

The Infrastructure Reality Check

Another important takeaway: agentic workloads introduce infrastructure complexity that many organizations are underestimating.

AI environments are inherently non – deterministic:

• Model routing changes dynamically
• East – west traffic grows significantly
• GPU utilization patterns fluctuate
• Power and cooling planning become critical operational considerations

The result is that infrastructure design can no longer be treated as an afterthought.

So What?

The organizations moving fastest are the ones designing the full AI stack upfront – not incrementally after pilots begin.

That means integrating:

• Security
• Governance
• Observability
• Infrastructure operations
• Cost management
• Lifecycle support

from day one.

The companies getting AI infrastructure right are building scalable operational foundations early so they can move from experimentation to enterprise – wide deployment with confidence.

The Gruve Perspective

At Gruve, we see this shift accelerating across every customer conversation.

We have adopted Cisco’s Secure AI Factory approach.  We provide validated architectures that help organizations securely implement and operationalize AI workloads at scale.

We developed PulseAI Platform (based on Cisco’s Secure AI Factory architecture) to simplify the journey from procurement through deployment and ongoing operations – helping customers and partners reduce friction and shorten the pilot – to – production gap.

The focus is not just enabling AI experimentation, but creating operationally ready AI environments that teams can securely run, govern, and scale.

Closing

We’re grateful for the conversations with customers, partners, and industry leaders throughout Cisco Live 2026.

The momentum around enterprise AI is real, and the next phase will be defined by organizations that can operationalize AI securely and efficiently at scale.

We’re excited about what we’ll continue building together coming out of Las Vegas.