How do you prevent AI hallucinations?

Orion™ Governance provides five independent lines of defense. A hallucination has to fool all five separate systems to reach a user — and each operates independently of the others, so a failure in one does not compromise the rest. This is not a general-purpose AI safeguard: it is designed specifically for the regulated environments where a wrong output has regulatory, financial, or reputational consequences.

The five layers are: direct document verification against source materials, a full immutable audit log of every decision, independent judging systems that evaluate outputs separately from the generating model, cross-validation across multiple models with divergent outputs held for human review, and continuous real-time monitoring with anomaly detection. Combined with Orion Runtime’s model ensemble approach — where multiple models cross-check each other’s work — this achieves enterprise-grade reliability in demanding environments.

  • Document verification — every output checked against source documents before delivery; hallucinated claims are caught before they reach any user
  • Immutable audit log — every input, decision, and output recorded; complete answer to any regulatory inquiry about how a conclusion was reached
  • Independent judging — a separate AI system evaluates outputs against your compliance rules, operating independently of the generating model
  • Cross-validation — multiple models checked against each other; divergent outputs are flagged for human review, not delivered automatically
  • Continuous monitoring — live accuracy metrics across your fleet; alerts fire at threshold breach before issues reach users