It's more feasible to think of the risks in one narrow context/use case.

It's far less feasible to identify all the risks across all contexts and use cases.

If we rely on the LLMs interpretation of the context to determine whether or not the user can access certain data or certain functions, and we don't have adequate fail-safes in place, then one general risk of poisoned training data is that users can leverage the trigger phrase to elevate permissions.