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What is Netwrix Data Classification?

Netwrix Data Classification is an advanced data classification platform designed to help organizations identify, classify, and secure sensitive information across complex IT environments. It scans data across on-premises systems and cloud platforms to locate sensitive and business-critical information. The solution uses predefined taxonomies and intelligent analysis methods to classify data based on sensitivity levels and regulatory requirements. It helps organizations detect sensitive information such as personally identifiable information, financial data, and intellectual property. Netwrix Data Classification also identifies redundant, obsolete, and trivial data that can create unnecessary risk and storage overhead. The platform supports automated remediation by securing, relocating, or restricting access to sensitive files. It enhances data security by embedding classification labels directly into files, improving integration with data loss prevention and information rights management tools. The solution enables organizations to meet compliance requirements by identifying and protecting regulated data under standards like GDPR, HIPAA, and PCI DSS. It provides detailed visibility into where data resides and how it is used across the organization. The platform operates without agents, reducing system impact and simplifying deployment. It supports scalable environments and adapts to growing data volumes. Automation features reduce manual effort and improve operational efficiency. By combining discovery, classification, and remediation, it helps organizations maintain strong data governance and reduce the risk of data breaches.

What is Mage Sensitive Data Discovery?

The Mage Sensitive Data Discovery module is designed to reveal concealed data locations within your organization. It enables the detection of hidden information across various data stores, including structured, unstructured, and Big Data environments. Utilizing Natural Language Processing and Artificial Intelligence, this tool is capable of locating data in even the most challenging scenarios. Its patented discovery method guarantees effective identification of sensitive data while keeping false positives to a minimum. You can enhance your data classifications with over 70 existing categories that encompass all widely recognized PII and PHI data types. Furthermore, the module streamlines the discovery process, allowing you to schedule sample scans, complete scans, and incremental scans at your convenience. This versatility ensures that your organization can maintain robust data security measures while efficiently managing data discovery tasks.

Media

Media

Integrations Supported

Google Drive
Microsoft SharePoint
PostgreSQL
SQL Server
Dell EMC NetWorker
Dropbox
Netwrix Auditor
Oracle Database

Integrations Supported

Google Drive
Microsoft SharePoint
PostgreSQL
SQL Server
Amazon DynamoDB
Apache Parquet
Google Cloud BigQuery
Google Cloud Build
Hadoop
Hemi HL7
Magento
Microsoft Dynamics 365
MongoDB
OCI Observability
Oracle Cloud Infrastructure
ServiceNow

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Netwrix

Date Founded

2006

Company Location

United States

Company Website

netwrix.com/en/products/data-classification/

Company Facts

Organization Name

Mage Data

Date Founded

2014

Company Location

United States

Company Website

magedata.ai/sensitive-data-discovery-catalog/

Categories and Features

Data Classification

Not specified

Data Discovery

Not specified

Data Security

Not specified

Categories and Features

Data Classification

Not specified

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Sensitive Data Identification

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