Data-centric security and governance for data

Abstract

The information security has never been as important as it is today for the business, Health, Banking and education organizations and individuals alike, because Many organizations around the world depend today on reliable information to perform their Daily tasks. So, it is Possible for organizations and individuals to guard themselves by being skilled on the Importance of security and gaining awareness of the possible Security attacks that they may encounter. Basically, if you cannot answer the question where is my sensitive data, you need to first work on a data classification effort for your enterprise. This thesis represents and describes a new approach used to build a security tool by help of classification tool, that can be used for classifying of data public private confidential and sensitive data depending on the provided attributes define hence reducing intentional data leakage actions through data classification as the first step in ensuring data security by clustering of data to be able to identify the most critical and high risk data to be protected. The main goal of this thesis is to put the basis for a new security application can be used within many organizations to protect and prevent sensitive data from leakage to the wrong hands intentionally or accidentally. DLP solutions detect and prevent unauthorized attempts to copy or send sensitive data, both Intentionally or/and unintentionally, without authorization, by people who are authorized to access the sensitive information.DLP is designed to detect potential data breach incidents in timely manner and this happens by monitoring data.