The T9 Project aims to develop AI-based cyber threat detection models using datasets (T9 Data) that mimic recent cyberattacks. The second dataset release includes nine types of attacks, covering network, endpoint, and combined scenarios, designed based on real-world attack behaviors. It provides analyzable data such as network packets and Sysmon logs to support high-quality training for AI models. The project plans to complete its detection model by the second half of 2025.