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| Product | Mindshare (%) |
|---|---|
| Netwrix Data Classification | 1.4% |
| Aparavi | 0.4% |
| Other | 98.2% |
Aparavi is a cutting-edge data intelligence and automation platform designed to enhance data visibility, governance, and control, helping organizations manage, classify, and optimize their data effectively.
Aparavi addresses the challenges of data management by offering a comprehensive platform that provides critical insights into data sources. It enables users to classify data and enforce compliance, ensuring protection and optimal use of resources. With a focus on automation and flexibility, Aparavi stands out for its ability to integrate seamlessly with existing infrastructures, supporting diverse data environments and enhancing productivity.
What are the key features of Aparavi?Aparavi is effectively implemented in industries like healthcare, finance, and legal sectors where data compliance is critical. It streamlines operations by automating data classification, ensuring that data management practices align with industry standards, helping organizations handle data complexities with ease and precision.
Netwrix Data Classification automatically discovers and classifies sensitive and regulated data across file systems, Microsoft 365, SharePoint, Exchange, OneDrive, databases, and other cloud and on-premises environments. As a core component of Netwrix data security posture management (DSPM), it enables organizations to understand where sensitive data resides, who has access to it, and how it is exposed.
The solution uses advanced content analysis and customizable classification rules to identify personally identifiable information (PII), financial data, intellectual property, regulated records, and other sensitive content. Classification tags are written directly to files and metadata, enabling integration with data loss prevention solutions, access governance controls, and security monitoring tools.
Netwrix Data Classification also supports automated remediation workflows. Organizations can move sensitive files to secure locations, adjust access permissions, redact sensitive content, apply labels, and identify redundant, obsolete, and trivial (ROT) data for cleanup. By combining data discovery, effective permissions analysis, and automation, it helps reduce data exposure and strengthen compliance with regulations such as GDPR, HIPAA, and PCI DSS.
Key use cases
• Discover sensitive and regulated data across hybrid environments
• Identify overexposed data by analyzing effective permissions
• Remediate data risk with automated policy actions and workflows
• Identify and clean up redundant, obsolete, and trivial (ROT) data
• Protect intellectual property with content-based classification and tagging
• Support compliance with predefined classification rules aligned to regulatory standards
• Strengthen data loss prevention effectiveness with embedded classification tags
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