As an AI agent becomes capable of ever more involved actions, so does the importance of defining precisely what it can and cannot do. Access granted too widely, for development convenience, exposes the business to risks beyond the occasional error.
The principle of least privilege
The same principle applied to human users — access only to what the role requires — matters even more for an AI agent: if an agent handles quotes, it should not have access to deletion functions unrelated to that task, even where implementing it would be technically straightforward.
Reversible versus irreversible actions
A useful distinction is between easily reversible actions — creating a draft, working out a value — and actions hard to undo, such as sending a message to a customer or permanently deleting data. The latter deserve stricter controls, such as explicit user confirmation before execution.
A defined perimeter, not unlimited autonomy
A secure AI agent operates inside a perimeter of explicitly granted actions, defined by whoever designs the system — it does not decide for itself to use tools outside those it has been given. That perimeter should be reviewed periodically, narrowed if misuse appears, and widened cautiously when a real, verified need emerges.