Automated Detection and Classification of Sensitive Data in Cloud Environments

Abstract

The introduction of cloud technologies is inevitably accompanied by an increase in information security risks. One of the most serious problems faced by cloud users is the detection and prevention of data leaks in the cloud infrastructure. Confidential data is information that requires protection from unauthorized access, modification or distribution, as it is highly sensitive and can cause damage to the owner or third parties in the event of leakage or abuse. This data may concern both individuals and organizations and is often regulated by legal acts in order to ensure their security and confidentiality. Compromise of confidential information (personal information, financial transactions, intellectual property), unauthorized access to sensitive data can lead to large-scale reputational and economic losses. According to all analytical reports, as well as analytical reviews by Gartner and Forrester, the number of cyberattacks targeting cloud platforms is constantly growing, and their complexity and sophistication are increasing. Accordingly, the issues of identifying confidential data in cloud environments are becoming extremely relevant.