Netwrix Data ClassificationNetwrix
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Related Products
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About
Cyberhaven’s Dynamic Data Tracing technology is a transformative approach to preventing IP theft and other insider threats. Automatically track and analyze the entire journey of your data from its creation through every user interaction. Continuous risk assessment proactively finds unsafe behaviors and practices before they lead to a breach. Full-context data tracing makes policies simpler and more effective with far fewer false positives and user disruptions. In-context user education and coaching drives better behavior and adherence to security best practices. Whether due to malicious actions or a moment of carelessness, data loss can have devastating financial and reputational impacts. Automatically classify sensitive data based on data origin, its creator, and content. Find data even if you didn’t know where to look. Proactively find and mitigate risks whether due to malicious insiders, unsafe behavior, or simple user mistakes.
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About
Netwrix Data Classification is a data security solution designed to discover, classify, and protect sensitive information across IT environments. It helps organizations automatically identify sensitive data stored in both on-premises and cloud systems. The platform uses predefined rules and intelligent analysis to classify data based on its type and sensitivity. It enables organizations to detect redundant, obsolete, and trivial data that increases risk exposure. Netwrix Data Classification supports automated remediation actions such as moving, securing, or restricting access to sensitive files. It helps organizations meet compliance requirements by identifying regulated data such as GDPR, HIPAA, and PCI-related information. The solution enhances data visibility, allowing teams to better understand where critical data resides. By improving data organization and protection, it reduces the risk of data breaches and unauthorized access.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Organizations and companies looking for a dynamic data tracing technology solution to prevent IP theft and other insider threats
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Audience
IT security teams, compliance officers, and organizations that need to identify, classify, and protect sensitive data across hybrid and multi-cloud environments
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Support
Phone Support
Not Supported
24/7 Live Support
Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Not Supported
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Company InformationCyberhaven
Founded: 2016
United States
www.cyberhaven.com
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Company InformationNetwrix
Founded: 2006
United States
netwrix.com/en/products/data-classification/
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Categories |
Categories |
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Integrations
Box
Not Supported
Dell EMC NetWorker
Not Supported
Dropbox
Not Supported
Google Drive
Not Supported
Microsoft 365
Not Supported
Microsoft Exchange
Not Supported
Microsoft SharePoint
Not Supported
Netwrix Auditor
Not Supported
Nutanix Files Storage
Not Supported
Oracle Database
Not Supported
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Integrations
Box
Supported
Dell EMC NetWorker
Supported
Dropbox
Supported
Google Drive
Supported
Microsoft 365
Supported
Microsoft Exchange
Supported
Microsoft SharePoint
Supported
Netwrix Auditor
Supported
Nutanix Files Storage
Supported
Oracle Database
Supported
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