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Connect with configuration management databases (CMDBs) and cloud providers (Ex: AWS, Azure, GCP) to collect all data assets into a single repository. Catalog databases, data warehouses, object stores, file stores and more.
Discover hundreds of personal & sensitive data attributes such as name, address, credit card number, social security number, medical record number and many more for any structured & unstructured databases.
Modern machine learning and pattern matching techniques help identify sensitive files such as source codes, consent forms, financial statements. Group files into categories such as sales, finance, academia.
Automatically apply labels as soon as a sensitive file is detected. For example: Label finance documents as confidential. Labels are used to enforce security policies and prevent data leaks
Rank order data based on risk scores. Showcase high risk data assets or data locations or even specific categories of data
Use data risk to narrow down high risk data sets and enable security controls to minimize risk of data exposure and breaches
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