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Sensitive Data Intelligence for Security

Discover and mitigate data security risks

Data Classification Hero Image

Discover all personal and sensitive data, highlight high risk data sets, detect security controls and enable data protection

Catalog all Data Assets

Gather on-premises, hybrid and multicloud data assets into a single catalog

Deep Discovery

Built-in detection for hundreds of personal and sensitive data attributes

Automatic Data Classification

Classify unstructured data by category, type & format

Highlight Risky Data

Rank order data sets in your environment based on risk

Data Protection

Detect and enable access & security controls on sensitive data

Automate Enforcement

Use a policy engine to automate data labeling & security controls

Collect and catalog all data assets

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.

Deep Discovery

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. 

Automatic Data Classification

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.

Label data for effective security

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

Highlight high risk areas

Rank order data based on risk scores. Showcase high risk data assets or data locations or even specific categories of data

Automate data protection

Use data risk to narrow down high risk data sets and enable security controls to minimize risk of data exposure and breaches

Automating privacy operations across your organization

The multi-disciplinary practice to grow trust-equity of your brand and comply with privacy regulations.

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“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