False Positives and Negatives
AI systems, while highly accurate, can make mistakes. There's a chance of two types of errors: false positives (mistakenly flagging harmless actions as threats) and false negatives (missing real threats). Picture this: sometimes, an AI system, in its zeal, might think normal user actions are suspicious, causing unnecessary disruptions and overwhelming security teams with alerts.