AI hallucinations pose real security risks because models often generate confident but incorrect answers that can mislead humans and even trigger automated cybersecurity actions. The article explains that most tested AI systems were more likely to provide wrong yet authoritative responses on difficult questions, creating dangerous vulnerabilities when organizations rely on them for critical decisions. It emphasizes that every AI-generated output should be treated as unverified until a human confirms its accuracy.