Necessary actions can be taken by detecting situations that conflict with the rules defined in DLP and incidents such as unauthorized access attempts, providing regular reporting and intervening when necessary.

Before starting the DLP Project, the classification structure should be established by determining the importance level of the data kept in the file system and databases. Each in-house department should determine the importance of the data it holds, and then this data should be introduced to the DLP system. All descriptions must be entered, as DLP does not know that these categories are critical or important.

The implementation of these systems; It requires studies such as planning controls such as reducing the risk, impact and degree of attack and ensuring the continuity of policies.

After you install the DLP software on your system, you should create symptom templates on the data and set up the DLP's responses when it encounters this data. For example, you can completely bypass the data in the first group, and you may not even keep any records about this data. This will make room for a significant reduction in system resources required by the DLP agent. You can make the data in the second group accessible only to users in the accounting department, and you can restrict access and change requests by other users. For the data in the third group, you can ensure the security of this data by defining the permissions such as writing, copying and printing only to the persons in the board of directors. The data in the fourth and last group can be completely closed to writing, copying, printing, moving, You can prevent any user from leaking, even if they take over the CEO's computer. The important thing here is to determine which data is priority for you, to specify them when making DLP settings, and to prepare special security templates for these data.

Unlike other security software, DLP is primarily designed to prevent internal damage. It is a known situation that hackers who attack large companies in an organized way primarily do social engineering and try to get information from within the company. In this case, how logical is it to unconditionally trust all employees inside multinational companies with hundreds or even thousands of employees? A malicious employee can leak data for an attack or easily copy your information without you knowing. This is where DLP comes into play , protecting your data against attacks from “unexpected places” .