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.
