Hallucination is the central reliability risk for enterprise AI. Retrieval-augmented generation (RAG) reduces it by grounding answers in retrieved evidence, but does not eliminate it: the model can still misread context or answer from memory when retrieval misses.
Mitigations include requiring citations, designing the system to say 'I don't know,' and evaluating faithfulness — whether an answer actually follows from its sources.