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Modern machine learning and pattern matching techniques help identify sensitive files such as consent forms, financial statements. Group files into categories such as sales, finance, academia.
Automatically apply sensitivity labels to files. Import labels from your Microsoft security center and apply them to files in Box, NFS, SMB and other unstructured data assets.
Enforce security policies using sensitivity labels on your firewalls and proxies to prevent confidential data from leaving the corporate environment.
Add metadata tags to files to indicate categories of personal data, purpose of processing for privacy use-cases.
The multi-disciplinary practice to grow trust-equity of your brand and comply with privacy regulations.Get the Book
“By leveraging the PrivacyOps constructs from this book across our organization we were able to not only save time and money but also mitigate the risks associated with manual methods of privacy management.”
- Marty Collins, Chief Privacy and Legal Officer, QuinStreet, Inc