Socio-technical systems can be viewed as a linked structure of a set of entities which provide and spread information through a linked structure. A set of linked Web pages, social network of acquaintance or other connections between individuals are common samples of such systems. In this talk, we will discuss how considering both technical and social components of a complex system can help improve the proactive cyber threat intelligence applications to protect privacy of Internet users. First, we talk about the history of socio-technical systems and the recent work on their evaluation. Then, we discuss wide range of applications where considering a socio-technical approach can improve the security of a complex system. Mahdieh is an assistant professor in the department of Computer Science at Central Connecticut State University, CT, USA. She works at the intersection of cyber security and network science with the aim of improving proactive cyber threat intelligence applications in protecting privacy of Internet users. Her research particularly focuses on applied machine learning and characterization, measurements, and analytics for complex cyber-security and socio-technical systems. She received her PhD in Computer Science from Wright State University, Ohio, USA. She serves as a reviewer of prestigious journals such as Computers and Security, ACM Transactions on Intelligent Systems and Technology, and ACM Transactions on Internet Technology. She is also a reviewer and program committee member at some conferences such as the Web Conference, Web Intelligence, and Intelligent Systems.