AI systems can sometimes produce outputs that are incorrect or misleading, a phenomenon known as hallucinations. These errors can range from minor inaccuracies to misrepresentations that can misguide decision-making processes. Real world implications “If a company’s AI agent leverages outdated or inaccurate data, AI hallucinations might fabricate non-existent vulnerabilities or misinterpret threat intelligence, leading to unnecessary alerts or overlooked risks. Such errors can divert resources from genuine threats, creating new vulnerabilities and wasting already-constrained SecOps … Continue reading AI hallucinations and their risk to cybersecurity operations