AI 'hallucination' refers to instances when artificial intelligence systems, especially large language models, generate information that appears plausible but is actually false, misleading, or entirely fabricated. These hallucinations can occur due to limitations in the AI’s training data, misunderstanding of context, or the AI’s attempt to answer questions beyond its knowledge. In cybersecurity, AI hallucinations can pose risks by spreading misinformation, generating fake alerts, or providing inaccurate threat intelligence, potentially leading to poor decision-making or security breaches. Understanding and mitigating AI hallucinations is crucial for maintaining trust and reliability in AI-driven cybersecurity solutions.