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Netwrix Data Classification

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(1)4.5/5

Netwrix Data Classification is a data security solution that continuously discovers and classifies sensitive data across your environment, enabling accurate risk assessment, remediation, and stronger downstream controls. It combines sensitive data discovery with ROT data analysis so security and compliance teams can find what matters, understand exposure, and act with confidence. Key Features and Functionality: - Continuous Discovery: Scan file systems, databases, email, and cloud repositories on an ongoing basis to identify sensitive and regulated data as it's created or moved. - Automated Classification: Apply predefined and custom taxonomies with built-in support for GDPR, HIPAA, PCI DSS, and other regulated data types, enabling fast deployment without building rules from scratch. - Risk Assessment and Prioritization: Evaluate data based on sensitivity and exposure so teams know where to focus remediation effort first. - ROT Data Cleanup: Identify redundant, obsolete, and trivial data across the environment and reduce attack surface by cleaning it up before it becomes a liability. - Automated Remediation: Move sensitive files to secure locations, remove excessive permissions, and redact confidential content to reduce exposure without manual intervention. - DLP and Access Governance Integration: Embed classification tags into files to improve the accuracy of downstream DLP and IRM tools, and integrate with access governance controls like Netwrix Access Analyzer. - Visibility Into Data Location: Visualize how classified content is distributed across the environment by source, taxonomy, or term, so teams can see exactly where regulated data is concentrated. - Compliance Reporting: Generate audit-ready reports aligned to GDPR, HIPAA, PCI DSS, and other frameworks from a single platform. Broad Source Coverage: Classify data across Windows file servers, SharePoint, Microsoft 365, Exchange, SQL Server, Oracle, MySQL, Box, Dropbox, Google Drive, and more. Primary Value and User Solutions: Sensitive data scattered across file shares, databases, email, and cloud repositories makes it difficult to reduce risk or enforce controls with confidence. Data Classification closes that visibility gap by continuously finding and classifying regulated data wherever it lives, then feeding that context into remediation and downstream security tools. Teams get a clear view of where the highest-risk data sits, so remediation effort goes where it matters most instead of being spread thin. ROT cleanup shrinks the attack surface by removing redundant and obsolete files that serve no purpose but carry real exposure. Classification tags carried into DLP and IRM tools make those controls more accurate, and integration with access governance closes the loop between what data exists, who can reach it, and what should happen next. At audit time, compliance reporting aligned to GDPR, HIPAA, and PCI DSS means teams answer regulator questions from one platform instead of assembling evidence from scattered systems.

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