Data Classification is a part of Information Security which classifies data generated during business operations according to re-established security requirements. As a result the generated information assets are used as the basis of a reliable, accurate and sustainable company operation and also the development of the IT field of client.
AAM participated in the review of data security policies, in the definition of critical information to-be-protected, in suggestions to handle data leakage paths, while AAM also helps to define the additional DLP rules/policies. The DLP systems (Data Loss Prevention/Data Leakage Prevention) prevent sensitive data from accidental or intentional leakage on the typical data routes (printing, USB flash drive, e-mail, social media) and rely extensive on the identification of critical information.
Main tasks during the Data Classification project:
- Selection of adequate classification method
- Interviews with stakeholders and assessment of the data types and data classes based on process or system level approach
- Preparation of Data classification reports
- Preparation of Data classification tables
- Definition of DLP rules