Source: Varonis Blog Author: Nathan Coppinger URL: https://www.varonis.com/blog/data-masking
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ONE SENTENCE SUMMARY: Data masking is essential to protect sensitive information in databases and data warehouses from unauthorized access, especially using Varonis’ automated platform.
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MAIN POINTS:
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Data masking obfuscates sensitive data to protect against unauthorized access and breaches.
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Varonis’ platform supports dynamic data masking for popular databases like Amazon Redshift and Google BigQuery.
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Automated data masking helps organizations discover and classify sensitive data efficiently.
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Dynamic data masking creates inauthentic versions while retaining original data properties and usability.
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Accurate data classification is vital for effective data masking and protection strategies.
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Unmasked sensitive data can be identified using out-of-the-box Varonis reports.
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Organizations can create and apply dynamic masking policies tailored to their data needs.
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Varonis supports various masking methods, including tokenization, hashing, and custom masks.
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The platform allows for flexibility in managing, modifying, and removing data masks as needed.
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Varonis combines multiple security features in one platform to combat data breaches and ensure compliance.
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TAKEAWAYS:
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Implementing data masking reduces risks associated with data breaches in sensitive information.
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Accurate data classification is foundational for effective governance and data protection.
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Dynamic data masking provides unobstructed data usability while preserving security and compliance.
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Varonis automates the identification and masking of sensitive data for efficiency.
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A robust data security strategy includes comprehensive data masking policies to enforce least privilege access.