It is different from BI and the gap is worth naming. BI connects deterministic queries from a known operator schema. An agent is an unbounded query generator, so your risk surface includes both what it asks for and what it synthesises from what it gets back. RLS alone won't help you, because the moment the agent gets handed a view it is already reasoning over rows you wanted to protect.

The practical answer I've seen hold up: push column-level redaction before the agent layer, not after. A logical replica with PII columns replaced by null or a stable hash gives you the same query surface, plus one audit row per session at the connection pooler, not the app. The AI team gets its data, you get a hard boundary that doesn't rely on prompt engineering.

The harder question is ownership. In a startup where the ML lead, the infra person and the security person are often the same tired CTO at 10pm, the right answer depends on who gets paged when a hallucinated query wakes up the primary. Usually the answer is nobody, which is the real problem behind the technical one.