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Data security is a fundamental process of protecting one of the most important assets of every company - its data. It is crucial to understand that this process is not limited to just securing physical or digital data storage locations. The actual goal is to protect the data itself against loss, unauthorized access, and potential leakage. This approach emphasizes the importance of data as an asset and requires the comprehensive use of technologies, policies and procedures that ensure its security at every stage of processing and storage.


Data identification and classification is a key process in information security management that requires an in-depth analysis of the organization's business processes. This allows you to understand what data is processed, whether it is subject to legal protection, and what importance it has for the company's operations. The next step is to find this data in IT resources and mark it appropriately, which is necessary to ensure its effective protection. This process not only allows you to protect information against unauthorized access, loss or leakage, but also ensures compliance with applicable legal provisions regarding data protection.

Thanks to precise data classification, organizations can prioritize their security activities, focusing on the most sensitive and critical data. This, in turn, allows for more effective use of resources allocated to cybersecurity, ensuring data protection at the appropriate level. Moreover, a properly conducted data identification and classification process supports organizations in building trust among customers and business partners, emphasizing their commitment to privacy protection and information security.


Proper data security involves the use of advanced tools such as DLP (Data Loss Prevention), DSPM (Data Security Posture Management) and encryption technologies that support process automation and act preventively. DLP tools help identify, monitor and protect data as it is processed, stored and transmitted, preventing unauthorized disclosure. DSPM, in turn, enables continuous assessment and management of the data security posture, identifying potential weaknesses and non-compliance with data protection principles.

Data encryption provides a fundamental layer of protection, ensuring that even in the event of unauthorized access, information remains unreadable and useless to third parties. Implementing these tools into your data security strategy allows you to build a solid defense, acting preventively against potential threats and automating key data protection processes. This allows organizations to effectively secure their most valuable digital assets while increasing their resilience to data breaches and compliance with privacy regulations.

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