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The data is an important asset of an organization and it is essential to keepthis asset secure. It requires security in whatever state is it i.e. data atrest, data in use, and data in transit. There is a need to pay more attentionto it when the third party is included i.e. when the data is stored in thecloud then it requires more security. Since confidential data can reside on avariety of computing devices (physical servers, virtual servers, databases,file servers, PCs, point-of-sale devices, flash drives, and mobile devices) andmove through a variety of network access points (wireline, wireless, VPNs,etc.), there is a need of solutions or mechanism that can tackle the problem ofdata loss, data recovery and data leaks. In this context, the paper presents aholistic view of data protection for sharing and communicating environments forany type of organization. A taxonomy of data leakage protection systems andmajor challenges faced while protecting confidential data are discussed. Dataprotection solutions, Data Leakage Protection System's analysis techniques,and, a thorough analysis of existing state-of-the-art contributions empoweringmachine learning-based approaches are entailed. Finally, the paper explores andconcludes various critical emerging challenges and future research directionsconcerning data protection.

A Holistic View on Data Protection for Sharing, Communicating, and Computing Environments: Taxonomy and Future Directions