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What is Data-centric security?

Data-centric security is an approach that prioritizes protecting data itself rather than securing only networks or applications. It includes encryption, access control, and tokenization to safeguard sensitive information. This method ensures data remains secure during storage, transmission, and processing, making it a crucial aspect of cybersecurity in cloud computing and enterprise environments.

Data protection officer
A data protection officer (DPO) is a professional responsible for ensuring an organization complies with data protection laws and privacy regulations. The DPO oversees security policies, conducts risk assessments, and serves as a liaison between businesses and regulatory authorities. Organizations handling large-scale personal data, especially under GDPR, are required to appoint a DPO to ensure compliance and safeguard user privacy.
Algorithmic bias
Algorithmic bias occurs when an AI system produces prejudiced results due to biased training data or flawed algorithms. This can lead to unfair outcomes in decision-making processes, such as hiring or lending, necessitating fairness and bias mitigation techniques in AI development.
Data integrity
Data integrity refers to the accuracy, consistency, and reliability of data throughout its lifecycle. It ensures that data remains unaltered except through authorized modifications. Maintaining data integrity is critical in databases, analytics, and cybersecurity to prevent data corruption, loss, or unauthorized tampering.

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