engleski

Sensitive data discovery in relational databases

Considering the interconnectivity that exists today between business processes and as the size of an organization grows, data is placed in several systems, applications, databases, and shared files, making its protection, authentication, and confidentiality along with the need to comply with regulations, meet auditor demands, and minimize data risk adds to the challenge. To meet these needs, the focus must shift to the data itself. Traditional security solutions that focus on the external threat are not the answer. Data-focused technology is required. This can also often happen in the context of mergers and acquisitions (expanding) or when legacy systems have outlasted their original owners. As a result, sensitive data may exist beyond the knowledge of the person who currently owns that data. This is a common yet extremely vulnerable scenario, since you cannot protect sensitive data unless you know it exists. Understanding where data is located is the foundation of a sound framework for assessing governance and compliance risk. Therefore, discovery and classification processes become important and critical component of risk mitigation as the size of an organization grows and sensitive information like credit card numbers and personal financial data propagate to multiple locations.

Data discovery ; GDPR ; Data protection ; Software analysis ; European regulative ; Relational databases ; Sensitive data

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