SecOps Teams Need to Tackle AI Hallucinations to Improve Accuracy

## Executive Summary This article examines how AI hallucinations in large language models can create false alerts and misleading threat intelligence that misdirect SecOps, potentially causing harmful actions such as unnecessary downtime in OT environments; it outlines causes (model training, operator error), real-world risks, and mitigation strategies including human-in-the-loop reviews, purpose-built models, strong data governance, and tooling transparency.