Automation bias is the human tendency to place excessive trust in automated systems and their recommendations, often at the expense of critical thinking or manual verification. In cybersecurity, this can lead individuals to overlook errors, ignore contradictory evidence, or fail to notice system malfunctions. Over-reliance on automation may result in missed threats, improper responses to incidents, or the propagation of false positives and negatives. Recognizing automation bias is crucial for maintaining vigilance, ensuring thorough review of automated outputs, and integrating human judgment into cybersecurity processes to minimize risks associated with blind trust in technology.