Build Sovereign AI: Extend Control from Models to Agents

For years, organizations with the strictest data requirements faced a difficult choice: adopt frontier AI or maintain complete control of their data and infrastructure. With Gemini on Google Distributed Cloud (GDC), organizations can run powerful AI models entirely within their own environments—including those disconnected from the public internet.

But solving sovereignty for models raises the next question: what happens when those models become agents?

Agents reason over confidential data, call tools, communicate with other agents, and act on critical systems. That extends sovereignty requirements beyond where models and data live to how the entire agentic system operates.

Digital sovereignty rests on three pillars: data sovereignty, operational sovereignty, and software sovereignty. In this webinar, we will explore how GDC and Gemini provide the infrastructure and model foundation, while kagent and agentgateway extend sovereignty to the agents and tools running on top. You’ll learn how to:

• Run and manage agents with kagent on infrastructure you control
• Govern agent-to-model, agent-to-tool, and agent-to-agent traffic with agentgateway
• Apply identity, authorization, policy, and observability across agentic interactions
• Preserve software sovereignty with open source infrastructure that avoids dependence on a proprietary agent control plane

See how Gemini, GDC, kagent, and agentgateway come together to build agentic AI for environments where control, security, and sovereignty are non-negotiable.

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