Predictive profiling in cybersecurity refers to the use of artificial intelligence and machine learning to create behavioral and contextual profiles of users, systems, or entities. By analyzing patterns in user activities, network traffic, or system behaviors, predictive profiling anticipates potential threats, suspicious actions, or user needs before they occur. This proactive approach helps organizations detect anomalies, prevent cyberattacks, and enhance security measures by identifying risks in advance. Predictive profiling is widely used in fraud detection, insider threat prevention, and adaptive authentication systems. It relies on continuous data analysis and model updates to stay effective against evolving cyber threats.