HALO

HALO: Hallucination-Aware Layered Oversight architecture for enterprise AI trustworthiness

A preprint from arXiv introduces HALO (Hallucination-Aware Layered Oversight), a six-layer system architecture designed to contain rather than eliminate hallucination in enterprise AI deployments. The layers include grounded generation, constrained execution, multi-signal verification (LLM judge plus evidence-based checks), calibrated abstention, full traceability, and continuous drift monitoring. The paper reframes 'zero hallucination' as a system-level property enforced by architecture rather than a model-level property, and illustrates the approach on a regulated claims-extraction workload.