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Information governance IS AI governance
Why making Copilot useful is an information-protection problem, not an AI one — and what actually decides the data it can read.
Governance is the enabler, not the brake
Govern AI agents without becoming the department that says no. It starts with the principle: match the control to the risk, and contain experiments rather than hunting them down afterwards. Then the gap — the Power Platform governance you already have stops where your agents start. Then a three-zone model that gives every agent somewhere to live and a clear path to grow. And finally the decision process: score agents at intake, pre-approve the obvious cases, and save human judgement for the ones that need it.
Every policy, every risk score, every audit query, every data protection rule that you'll ever apply to an agent needs one thing first: a way to ident…
Every new Copilot Studio agent in your tenant now gets its own identity, the same way every employee gets an account. Now the agent receives a Microso…
Manual review feels safe until every useful idea is waiting for the same meeting. It isn't that the organisation doesn't care — the process just treat…
Before you decide what an agent can do, decide where it is allowed to live. Sounds boring, I know. But when you let people build agents you create a p…
You may already have a default environment strategy. You may already have DLP (data loss prevention) policies. You may have Managed Environments, shar…
If your AI governance can only say no, people will stop asking. That is the part we keep underestimating. Most makers are not trying to create risk. T…