Guest: Randy Bias (LinkedIn)
Company: Mirantis
Show Name: An Eye on AI
Topic: AI Governance

The enterprise AI landscape is moving faster than most teams can keep up with. New frameworks emerge every month, security standards evolve weekly, and production readiness often takes a back seat to experimentation. Randy Bias, VP of Strategy & Technology at Mirantis, says that’s exactly why the company developed MCP AdaptiveOps—a way to help teams operationalize AI safely while the ecosystem matures.

From Prototype to Production

Bias describes AdaptiveOps as a secure blueprint for deploying the Model Context Protocol (MCP) in real-world enterprise environments. “It’s designed for agentic engineers who need to deploy MCP servers securely,” he says. The system introduces a central control plane where MCP servers can be registered, monitored, and governed.

Built with open-source components, the framework enforces zero-trust networking so that only approved agents can talk to each other. Layer 7 proxies act as intelligent gateways, validating every call between tools and ensuring they adhere to compliance policies. “It’s about putting guardrails in place so AI workflows behave predictably,” Bias adds.

A Services-Led Approach

What makes AdaptiveOps unique is its hybrid model: open-source tooling wrapped in continuous professional services. Bias says this flexibility is critical in a fast-changing landscape. “Things are evolving so quickly—Anthropic launched the MCP Registry just weeks ago. If you’ve built your own internal registry, how do you adapt?”

AdaptiveOps addresses this by helping customers evolve their infrastructure alongside the ecosystem. Mirantis integrates new developments directly into the toolkit, maintaining security and compliance while minimizing disruption. As the MCP ecosystem stabilizes, Bias hints that Mirantis may eventually offer a full enterprise product for teams ready to standardize.

A Practical Engagement Model

Bias outlines a straightforward path to deployment. Each engagement begins with strategy workshops and use-case assessments. Once goals are defined, Mirantis fast-tracks deployment of a secure MCP control plane and parallel training for engineering teams. “We help them not just deploy, but understand agentic workflows,” he says.

The outcome is an infrastructure foundation that’s not only compliant and resilient but also adaptable—able to absorb new open-source advancements without rearchitecting everything from scratch.