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FAQ

The classifier can make mistakes or be manipulated, and it adds latency and cost to every user turn. Vague requests can also lead to refusals.

Actions that the user never asked for, even when the user's identity allows them. These are a typical result of indirect prompt injection: instructions hidden in data that is read by the agent, such as an email.

No. Intent is one more attribute, so intent rules can be added to the same policies as the existing rules, and all of them must permit an action.

A classifier, either an LLM or a smaller decision model such as Jev, reads the user's request and returns the actions that were asked for, such as reading or sending. The enforcement point sends those actions to the policy engine, along with each tool call.

IBAC lets an AI agent do only what its user asked for, as opposed to everything that its identity is permitted to do. In practice it is attribute-based access control, with one or more attributes derived from the text that the user typed.

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