# AI governance gap: agents are about to make it worse

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The AI Governance Gap: Enterprise AI Consumption & Market Report

REPORT

The window to fix this is closing

Here's the honest version of where things stand.

Most enterprises are already running multiple AI models in production. 62% are running two or more, 20% are running six or more. And almost none of them have any governance in place for it. That's the human-traffic version of the problem.

Now add agents. 🤖

Agent API calls are growing at 43-46% CAGR. Human-initiated traffic grows at 3.1%. When agents start calling other agents, the governance surface doesn't grow linearly. It compounds. Every new model, every new agent, every new team spinning up a workflow: more complexity layered on top of a blind spot that was already there.

The organizations getting ahead of this aren't doing anything heroic. They're just putting the control plane in place now, while the complexity is relatively low.

The State of AI Governance shows exactly what that looks like and what it costs to wait.

Read The State of AI Governance

API + AI Summit 2026 | September 29 - October 2, 2026 | L.A.

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Kong enables the connectivity layer for the agentic era — securely connecting, governing, and monetizing APIs and AI tokens across any model or cloud.

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