AI Governance

Imagine that Per in the sales department spent an afternoon cleaning up the customer list. There were duplicate entries, errors in email addresses, and old newsletter sign-ups. Then he realized that the chatbot he pays for privately could do much of the work in a few minutes. He uploaded the Excel file and got a tidy list back. At the next department meeting, he proudly shared how much time he saved. Only then came the question no one had asked: What actually happened to the customer data when the file was uploaded? ...

You haven’t just adopted a new Copilot. You’ve brought a new digital actor into the organization. That’s perhaps the most important change with agents right now. When an agent gets its own identity, access to data, and the ability to perform actions over time, it’s no longer enough to ask who created it or who pressed start. We also need to ask what the agent actually does, what it has access to, whether its behavior changes, and what happens if it starts doing something it shouldn’t. ...

The big shift in 2026 isn’t just who tries to break in. It’s how often they simply log in. For Norwegian organizations, including small ones, this means the line between “external attacker” and “insider risk” has become much less useful in practice. If an employee is phished, or an account is compromised another way, activity quickly looks like legitimate use. Then the question isn’t just whether you stop the break-in. You also have to detect that an apparently normal user suddenly behaves like a risk. ...