AI-based cyber threat intelligence focuses on analyzing threat-related data and security indicators to identify, classify, and interpret potential cyber threats. It involves examining ransomware-related behavioral patterns, analyzing suspicious URL characteristics, extracting relevant features from public datasets and security telemetry, and distinguishing potentially malicious activity from legitimate behavior. By combining machine learning-based classification, explainable AI techniques, and endpoint monitoring, this approach helps identify emerging threat patterns, understand the factors contributing to threat predictions, and improve the interpretation of potentially malicious indicators. The resulting intelligence supports threat investigation, risk prioritization, security awareness, and the development of timely defensive measures against evolving cyber threats.