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| Product | Mindshare (%) |
|---|---|
| Netwrix Data Classification | 1.4% |
| K2View | 0.4% |
| Other | 98.2% |
K2View offers a versatile data orchestration solution designed to provide enterprises with efficient data virtualization and management capabilities. It facilitates seamless data integration across multiple sources, ensuring real-time access and scalability.
With K2View, organizations can streamline data workflows and better manage complex data structures. It supports a wide range of use cases, including data integration, data privacy compliance, and real-time data delivery. K2View provides scalable, customer-focused solutions tailored to industry-specific needs, driving operational efficiency and enabling data-driven decision-making.
What are the most notable features of K2View?
What benefits should be expected when reviewing K2View?
K2View implementation has been effective across industries such as finance, healthcare, and telecommunications. In finance, it enhances real-time data analytics; in healthcare, it ensures secure data sharing and compliance; in telecommunications, it optimizes customer data management and service delivery.
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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