Agent demos are easy; production access control is the hard part
An AI agent or system can look successful in a demo while still being unsafe for real business data. A demo only shows that the model can answer; it does not show that the system is safe to connect to customer records, internal documents, or tools that can take real actions. The biggest problems come from .
A that says “only show users their own data” is not real protection, because that kind of instruction can be bypassed. User identity, policy rules, and the source system’s own must block data before anything reaches the model. The model should not have permanent open access to systems.
Reusing a powerful token or for convenience can quietly give the agent every permission that account has. Agents need separate identities, , and tool-by-s.
Key points
- A passing demo does not prove an agent is safe for .
- A should not be used as .
- should be enforced before data reaches the model.
- Reusing a high-power token or can give an agent too much authority.
- Agents should use separate identities, scoped , and s.