CS0-004: CompTIA Cybersecurity Analyst (CySA+)Demo

When an AI or machine learning model generates output that includes fabricated information—such as events, facts, or details that do not actually exist or did not occur—this is known as a hallucination. Hallucinations happen when generative AI models produce plausible-sounding but false or nonsensical content not grounded in the underlying data, which can lead to inaccurate analysis or decision-making, as in this case where the AI invented events that never happened, causing incorrect event correlations. This differs from data exposure (unauthorized disclosure of sensitive information), malicious prompts (crafted inputs designed to manipulate AI behavior, e.g., prompt injection), and model poisoning (deliberate corruption of training data to bias or compromise a model).