Groundedness and hallucination checks
Groundedness or hallucination checks are applied to outputs that make factual claims. Ungrounded or unverifiable claims are flagged, filtered, or annotated per policy.
Outputs claiming to cite source material are checked for groundedness in the cited source. Ungrounded or unverifiable claims are flagged, filtered, or annotated per the organization's policy. Hallucination detection techniques are documented, and detection rates are measured. This is the first line of defense against the most visible failure mode of deployed AI agents.
Groundedness checks are applied to all outputs that make factual claims; detection techniques and rates are documented; ungrounded outputs are handled per policy; hallucination rates are tracked over time.