Agents Aren’t the Problem — The Problem Is That No One Is Managing Them
Imagine this: your organization has 10 AI agents operating across different departments. One helps write code, another summarizes documents, and another responds to customers. Each one accesses different datasets, works in different ways, and no one has a complete view of what these AI systems are actually doing.
Does that sound alarming? This is the reality many organizations are already facing, and GitHub has just released a tool designed to address it.
GitHub Enterprise AI Controls — What Can It Do?
GitHub has officially made Enterprise AI Controls and Agent Control Plane generally available for Enterprise customers. Key capabilities include:
Discovery — Find all agentic sessions across the organization, filter by agent, organization, or time period, and gain visibility into what AI agents have been doing
Configuration — Define which repositories each agent can access, what actions they can perform, and enforce clear permission boundaries
Usage Tracking — Monitor usage by organization within the enterprise to see which departments are using AI, how much they are using it, and for what types of work
Why This Matters to Every Organization — Not Just Tech Teams
GitHub’s feature set may look like something built primarily for software developers, but it signals something much more important: AI Governance is becoming a business requirement, not just a best practice
Microsoft is also developing a growing set of governance tools, including data protection in Purview for Copilot users and dashboards to monitor AI agent usage
If companies at the scale of GitHub and Microsoft need to build governance tools like these, then any organization using AI should be taking this seriously as well
