Online Social Networks have become an important part of daily digital interactions for more than half a billion users around the world. The various personal information sharing practices that online social network providers promote have led to their success as innovative social interaction platforms. At the same time, these practices have raised much critique and concerns with respect to privacy and security from different stakeholders. This work addresses the problem by presenting the analysis of different researches on security and privacy issues in social networking sites. After briefly summarizing these researches concerning security and privacy issues in SNSs, authors conclude with the role of Artificial Intelligence techniques such as Neural Network, Decision Tree techniques, Expert Systems and Adaptive Network based Fuzzy Inference System for privacy framework as a foundation to cope with security and privacy issues in their future research.