Artificial intelligence (AI) excels at finding patterns like unusual human behavior or abnormal incidents. It can also reflect human flaws and inconsistencies, including 180 known types of bias. Cybersecurity AI requires diverse data and context to act effectively, which is only possible with diverse cyber teams who recognize subtle examples of bias in security algorithms. Security leaders need to create an inclusive workplace and create an equal playing space for AI, authors say. The cybersecurity diversity problem isn’t new, but its about to create huge issues with biased cybersecurity AI if left unchecked.”]