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Most IT teams are somewhere in the same uncomfortable position right now. AI tools are spreading across the organization, some approved and many not. In general, most IT teams can name the tools they approved. The ones they did not approve are totally a different story.
The instinct is often to jump straight to governance. Define policies, build approval workflows and enforce access controls. That instinct is right, but it skips two steps that have to come first. You cannot govern what you have not seen, and you cannot audit what you have not connected to an identity. Before governance comes visibility, and before visibility comes control over what tools are even allowed to connect.
Here are the two things you actually need to get there.
1. A Central Place to Manage Every AI Connector and Token
Right now, the most common way AI tools enter an organization is through individual employees connecting their own accounts, generating their own API tokens, and getting to work. IT never sees it happen. Security never reviews it. And over time, you end up with hundreds of AI connections running across your environment, each one a potential data exposure point with no central owner.
The starting point for fixing this is a managed gateway: a single control layer where IT can provision, approve, and revoke the AI connectors and tokens your employees use across every sanctioned tool. When an employee wants to connect an AI tool, that request goes through IT. When someone leaves the company or a project wraps up, IT can cut access from one place — not hunt through ten different app settings to track down a token that may or may not still be live.
JumpCloud’s Managed AI Gateway does exactly this. Available now under Access > AI Connector, it gives IT and security admins a centralized interface to govern every AI connector and token across approved tools — so you always know what is connected, who connected it, and how to turn it off.
2. A Clear Audit Trail That Ties AI Activity to Real Identities
Visibility into what tools exist is only half the picture. The other half is knowing what those tools are actually doing — and who is responsible for each action they take.
This is where most organizations have a real gap. Even when AI tools are technically approved, the activity they generate is rarely tied back to a verified user identity or a specific device. That means when something goes wrong like a data access you did not expect, a permission that looks too broad, or a compliance question from an auditor you have no clean answer. You have logs, maybe, but not the context to make them useful.
What you need is centralized logging that correlates AI access and activity to the user identity and device behind each session. Not just “this tool accessed this data” but “this employee, on this device, using this connector, accessed this data at this time.” That level of context is what turns a log file into an accountability trail and what makes it possible to answer an auditor’s questions confidently instead of scrambling.
JumpCloud’s AI Activity Visibility and Audit Reporting provides exactly that layer. Available now, it delivers centralized logging and reporting of AI access correlated to user identity and device context giving IT the full picture of what is happening across every approved AI tool in the environment.
Governance Starts Here
AI governance is not a single policy decision or a one-time audit. It is an ongoing practice — and like any practice, it needs the right foundation to build on. A managed gateway tells you what is connected and keeps that list under IT’s control. An audit trail tells you what is happening and who is accountable for it. Together, they are the minimum viable starting point for any organization that wants to move from reactive to proactive when it comes to AI.
The organizations that get this right early will not just be more secure. They will be faster, because their teams will have the confidence to adopt AI broadly, knowing that every tool in the environment is seen, tracked, and accountable.
See it for yourself.
Start your free trial of JumpCloud today and get visibility into every AI tool running in your environment.
