Netwrix data classification for
Dropbox
Keep data in Dropbox organized and secure
Launch In-Browser Demo
No need to deploy the product
Automatically discover and tag files stored in Dropbox
Businesses around the world use cloud collaboration platforms like Dropbox to enable content sharing and employee collaboration. Unfortunately, the convenience vanishes as soon as users start turning shared folders into unorderly piles of documents, and it becomes nearly impossible to organize files stored in the cloud and keep sensitive information secure. Netwrix Data Classification helps you prevent your organization’s Dropbox from turning into file dump and keep your sensitive information in the cloud safe.
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Automate data classification to eliminate errors
Eliminate inconsistencies and errors while saving valuable time by automating the data tagging and classification process.
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Ensure accurate classification of Dropbox files
Make sure files with sensitive information don’t get overexposed because they were not classified correctly. Don’t let falsely classified documents interrupt your business processes.
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Secure your data with out-of-the-box rules
Jump-start your data security and compliance projects with predefined classification rules. Save all the time you would have spent developing and testing your own rules.
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Save time and cost on adjusting classification rules
Modify classification rules to meet your specific needs without professional services or exhaustive training, thanks to an intuitive rule-editing interface.
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Tag Dropbox files to ensure data security
Protect data stored in Dropbox and increase the efficiency of your data loss prevention tools by adding accurate classification tags right into each file’s metadata.
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Automate data remediation processes
Eliminate annoying manual routines by creating automated workflows that will move sensitive files from overexposed locations to secure ones and alert the appropriate team.
Read how Netwrix Data Classification can help you secure and organize corporate content both on premises and in the cloud.