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What is Netwrix Data Classification?

Are you finding it increasingly difficult to manage the vast amounts of data in your organization? Netwrix Data Classification effectively tackles your data-related issues, minimizing the risk of data breaches while maximizing the potential of your information, boosting employee productivity, and making compliance audits more straightforward. It empowers you to pinpoint sensitive data such as financial records, medical information, and personally identifiable information (PII), regardless of whether it's stored on-premises or in the cloud. Moreover, sensitive or critical data that is stored in insecure locations or accessible to too many individuals can be automatically isolated to mitigate risks until a comprehensive remediation strategy can be enacted. This solution also allows you to gain a more profound understanding of your organization’s unique data patterns. By employing advanced compound term processing and statistical analysis, you can achieve outcomes that are significantly more relevant than those obtained through simple keyword searches and semantic evaluations. With pre-configured rules that focus on data protected by regulations like GDPR, PCI DSS, and HIPAA, you can kickstart your discovery process in just a few minutes. This efficient methodology not only speeds up your data management efforts but also guarantees that you uphold compliance with ease, providing peace of mind as you navigate the complexities of data governance. Ultimately, embracing this approach not only safeguards your organization but also fosters a culture of data responsibility and proactive management.

What is FedEHR?

By redefining the traditional data value chain, we provide solutions that prioritize risk awareness when it comes to de-identifying sensitive data, facilitating its further processing. Whether you opt for on-premises management to maintain total control or choose a secure external service, FedEHR stands as your comprehensive solution that adheres to GDPR and HIPAA standards. As technological advancements progress, the characteristics of our data evolve, with a remarkable increase in IoT devices producing extensive amounts of information, reflecting our deeply interconnected and pervasive society. This evolution brings forth critical questions regarding the concept of our "quantified self." Yet, what are the broader implications and potential hazards associated with data sharing? Who has the right to access this data, and for what ends? What is the actual value of data, and who claims ownership over it? Although this wealth of personal and sensitive information offers remarkable opportunities for individual insight, it also creates substantial challenges for societies aiming to establish effective governance frameworks that can manage this data responsibly. As we confront these intricate challenges, the necessity for transparency and accountability in data management becomes increasingly vital, highlighting the need for ongoing conversations about ethical data practices.

Media

Media

Integrations Supported

Box
Dell EMC NetWorker
Dropbox
Google Drive
Microsoft 365
Microsoft Exchange
Microsoft SharePoint
Netwrix Auditor
Nutanix Files Storage
Oracle Database
PostgreSQL
SQL Server

Integrations Supported

Box
Dell EMC NetWorker
Dropbox
Google Drive
Microsoft 365
Microsoft Exchange
Microsoft SharePoint
Netwrix Auditor
Nutanix Files Storage
Oracle Database
PostgreSQL
SQL Server

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Netwrix

Date Founded

2006

Company Location

United States

Company Website

www.netwrix.com/data_classification_software.html

Company Facts

Organization Name

GNUBILA

Company Location

France

Company Website

gnubila.fr/

Categories and Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Security

Alerts / Notifications
Antivirus/Malware Detection
At-Risk Analysis
Audits
Data Center Security
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Mobile Data Security
Monitor Abnormalities
Policy Management
Secure Data Transport
Sensitive Data Compliance

Categories and Features

Data Security

Alerts / Notifications
Antivirus/Malware Detection
At-Risk Analysis
Audits
Data Center Security
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Mobile Data Security
Monitor Abnormalities
Policy Management
Secure Data Transport
Sensitive Data Compliance

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