Every team we meet has already wired AI into its daily work. The question is not whether people use it. It is whether you can see what they use, and say yes on purpose.
The tooling changed faster than the controls. In two years, coding agents, desktop assistants, and MCP servers went from novelty to normal. Every team wired AI into its daily work. Security got a mandate to govern it and no map to start from.
We do not think the answer is a longer ban list. Banning a tool does not remove it. People route around the block, and the usage you were worried about simply goes dark. You end up with less visibility, not less risk.
Control without visibility is guessing. You cannot write a policy for a tool you have never seen, and you cannot prove a control that watches traffic no one routes through it. So we built the seeing part first: one light install that maps every AI tool across browser, desktop, CLI, and MCP, and returns your first picture within a day. Only then does enforcement mean anything.
The goal is to run more AI, safely, not to slow your team to a crawl. Visibility is what makes that possible. When you can see what people use and what it touches, you can say yes with a record, redirect the risky cases to a sanctioned tool, and keep the two or three things that never belong out of reach. Governance becomes a way to move faster with the lights on.
Northbeams runs the most agentic operation in the category. Coding agents write our code. MCP servers touch our systems. We felt the blind spot before we named it, and we built Northbeams to govern the most demanding AI operation in the category, our own. Everything we ship is something we run in production every day.
Northbeams governs AI across four surfaces plus the network layer, with a price list where every number is the real number. This is a platform in the market, governing real AI activity now, and every claim on this site maps to something already shipped.
The Northbeams team.