Data discovery and protection in modern enterprises
Cyberhaven analyzes all your data flows and automatically builds a map of all your sensitive content, even in places you didn’t know to look.
Limitations of traditional data classification
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Highly inaccurate
Pattern-based rules leave large amounts of data unclassified and lead to false positives and false negatives.
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Too manual
Depends on users and staff to tag and retag files as they are created or updated. If users don’t do the work, the solution fails.
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Incomplete
Only attempts to identify sensitive data on egress but has limited ability to find data and identify risk proactively before egress.
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Privacy risks
All files are scanned regardless of origin and often stored on company servers, increasing regulatory risks and adding compliance overhead.
Cyberhaven’s approach
Automated discovery
Instead of forcing users to do the work of classification or relying on brittle patterns, sit back and watch as Cyberhaven automatically discovers and classifies all of your data, including copies and derivatives, by analyzing where it's coming from and who created it, how it's shared, and what its content is.
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Data provenance
Where did this data originate? Was it a shared folder named Legal Docs or from our Git bucket on Gitlab?
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User and owner context
Which user or group created this data? Who uploaded it to this location?
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Content inspection
Does this data contain PII or PHI or our future product names? Is this data a specific file type?
What can Cyberhaven do for you?
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Discover and classify
Identify and classify all sensitive data in any format in known and unknown locations.
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IP protection
Protect all hard and soft IP data types regardless of file or content type.
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Data firewalls
Identify oversharing of sensitive data outside of privileged groups or approved locations.
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Structured to unstructured
Track and prevent exposure of data exports from high-value databases to prevent leaks.