MagenAI builds the Control Plane for enterprise AI.

AI adoption inside enterprises is accelerating rapidly. Employees use generative AI assistants, developers integrate LLMs into applications, and organizations are beginning to deploy autonomous agents that interact with internal systems, data sources, and APIs.

But this new AI layer is emerging without the governance infrastructure enterprises traditionally rely on. AI systems can access sensitive data, trigger actions, connect to external tools, and interact with internal workflows — often without centralized visibility or control.

MagenAI provides the infrastructure layer that brings governance to this new AI environment.

Our platform acts as a Control Plane for enterprise AI, giving security, IT, and platform teams centralized visibility and runtime governance across AI models, copilots, autonomous agents, APIs, and MCP integrations. Instead of focusing only on prompt filtering, MagenAI governs how AI systems interact with enterprise environments.

The platform monitors AI interactions in real time and enforces policies on what AI systems can access, retrieve, and execute. This includes controlling tool usage, API calls, agent actions, and connections to internal or external data sources.

By operating as a lightweight infrastructure layer, MagenAI integrates across AI usage without disrupting existing workflows. Organizations can safely enable generative and agentic AI while maintaining security, compliance, and operational control.

As enterprises move from simple AI experimentation to fully autonomous AI workflows, governance can no longer be an afterthought. MagenAI provides the foundation that allows organizations to scale AI adoption while maintaining visibility, control, and trust.

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