Discover sensitive information from millions of fields without manual effort.
- Manual work to identify sensitive information from millions of fields
- Difficulty incorporating different team members in data identification and tagging process
- Custom development of classifiers without confidence intervals
- Automate detection of sensitive data to save hundreds of hours
- Easily allow different team members to inspect data through custom workflows
- Leverage pre-built classifiers with high confidence levels
Apply 60+ prebuilt classifiers alongside domain-specific, custom classifiers based on a desired confidence level, without worrying about false positives.
Enable different teams to inspect tags through workflows that certify data has been properly identified and tagged.
Assess sensitive data footprint by profiling registered tags for different elements such as PII, PHI, or other sensitive data.
Author policies that reference existing metadata in Alation, Collibra, Snowflake, and more, without managing policy metadata in multiple places.
Identify your sensitive data by scanning, tagging, and classifying.Learn More
Write data policies in plain language, enabling data policy democratization.Learn More
Fine-grained data security with attribute-based access control (ABAC), enforced at scale.Learn More
Advanced Privacy Enhancing Techniques (PETs) for data masking and obfuscation.Learn More
Prove compliance with tracking, auditing, and reporting.Learn More
How do you identify sensitive data?
When new data is introduced into a database, pre-set tags enable automated sensitive data discovery. As data is exposed through Immuta, our sensitive data detection feature automatically identifies and classifies sensitive data contained in columns as tags. Immuta governance users can then quickly and easily build global, automated privacy policies using these sensitive data tags – without writing a single line of code. They can also combine tags from existing metadata libraries with new tags detected by Immuta, creating a tag superset for building comprehensive rules for privacy protection and more.
What is classified as sensitive data?
Sensitive data is any data that needs to be protected against unauthorized access. If unintentionally exposed, sensitive data may have significant legal and/or ethical ramifications for both the data owner and the data subject. Data teams are compelled to protect sensitive data using data access solutions tools to appropriately permit or restrict data use, and to safeguard it from internal and external leaks and breaches.
What are common types of sensitive data?
The most well-known forms of sensitive data are personally identifiable information (PII) and protected health information (PHI), both of which are protected under HIPAA. However, sensitive data can also include confidential corporate information, credit card information, username and password combinations, attorney-client data, IP information, trade secrets, export-controlled research, and even personal calendars, among others. Data teams should work with legal and compliance teams to understand how to achieve compliance with federal regulations, as well as industry standards, employment clauses, and contractual agreements.
What is data discovery and classification?
Data discovery and classification is a multi-step process aimed at providing a more detailed understanding of user data. Data discovery tools assess the data environment and identify data source locations. Next, the data is classified, using predefined parameters to identify and label certain data types that reside in these sources. Immuta’s sensitive data discovery feature automatically assesses incoming data, classifying sensitive data in columns as tags.
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