This one-day workshop, Data Chaos to Trusted and Secure Intelligent Systems: Building High-Quality Data, Reliable Models and Defensive Strategies, offers a balanced introduction to the development of intelligent systems that are both reliable and secure. The programme begins with the importance of high-quality data, structured datasets, preprocessing, and feature engineering for predictive modeling. It then covers reliable model development through machine learning paradigms, validation methods, and evaluation metrics. The workshop also introduces the foundations of trustworthy AI, including interpretability, robustness, fairness, and governance. In the later sessions, participants will explore major information security threats, breach analysis, and vulnerabilities in data handling. Practical defensive strategies such as authentication, access control, encryption, and secure storage will also be discussed. Overall, the workshop helps participants understand how data quality, model reliability and security together support the development of trusted intelligent systems