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Data Discovery & Classification

Immuta automatically scans onboarded cloud data sources, generates standard tagging across multiple compute platforms, and classifies sensitive data such as PII or PHI, so you can eliminate manual, error-prone processes and have full visibility into all of your data.

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Our Value

Accelerate Workflows with Sensitive Data Discovery

Immuta’s sensitive data discovery and classification help organizations across every industry simplify operations, improve data security, and unlock data’s value. With automated data discovery, you can:

Gain faster access to data and insights

Get full visibility into your data assets

Improve collaboration across security, platform, and governance teams

Secure data management at scale

Sensitive Data Scanning & Classification

Discover sensitive data from millions of fields without manual effort. With 60+ pre-built and domain-specific classifiers, you can tailor data classification to your unique business needs based on your desired confidence level.

Automated Data Tagging

Enable different teams to inspect tags through workflows that certify data has been properly identified and tagged.

Data Source Profiling

Assess your sensitive data footprint by profiling registered tags for different elements such as PII, PHI, or other sensitive indicators.

Identity Metadata Synchronization

Easily authenticate with external identity management solutions like Okta, to integrate user groups and attributes into Immuta for simplified policy enforcement.

Data Catalog Integration

Integrate with external catalogs such as Alation and Collibra, and easily apply tags to data sources for streamlined classification.

Schema Change Monitoring

Automatically monitor data sources for table or column changes to keep source data and Immuta synchronized, and detect any anomalous changes.

Covering the Full Data Security Spectrum

Discovering, tagging, and classifying your sensitive data is the first step in unlocking more value from your data. Now what?

Understanding how your data is being accessed and used can help pinpoint potential risks, so you can put the right access controls in place to protect it. Immuta makes sure you can easily do both – without sacrificing speed, utility, or security.

Find out more about the Immuta Data Security Platform

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Partners

Discovering Data,
Wherever It Lives

Easily connect with Snowflake data to discover and manage sensitive data in the Data Cloud.

Integrate directly with the Databricks Lakehouse Platform to automate data discovery and classification.

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Customers

Unlock Your Data

“What if all those organizations could just create those rules, save it and be able to know in an auditable way that those rules are being followed. That’s what Immuta does for us.”

Josh Wilson Executive Vice President of Services & Technology
5x

improvement in process efficiency

400%

enhancement in analytics by using sensitive data securely

95%

automation of data requests for 6000 analysts

10x

growth in users accessing data

See our customers' stories

Frequently Asked Questions

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.

What are the most common types of data classification?

Data classification is a way of tagging data according to its type, sensitivity, and value to the organization if altered, stolen, or destroyed. This process is integral to the protection of data, as policies can be built based on how certain data is classified and its level of sensitivity. While the specificity of types of classification can vary, the most common types of data classification include public data, private and/or internal data, confidential data, and restricted data.

Why is automated data classification important for cloud data platforms?

Taking a more traditional manual approach to data classification is incredibly labor-intensive, time-consuming, and prone to human error. By contrast, automated data classification streamlines the classification process by automatically analyzing and categorizing data in real-time. This automated classification is carried out based on predetermined parameters, which are set by data teams in advance and allowed to run as new data enters a given data ecosystem.

What are the key capabilities of data discovery software?

An effective data discovery software should provide teams with a few key capabilities. These include an automated data discovery and classification process, giving enterprises clear visibility across their ecosystem as new data sources are added to different components. This software should also reduce costs and time-to-data, as well as reduce the risk of data breaches and leaks and ensure the compliance with various applicable data laws and regulations.

Featured Resources

The Latest In Data Security

Guide
How to Choose a Data Discovery Solution
Playbook
How to Design & Implement a Governance, Risk, and Compliance Framework for Enterprise Data Analytics
White Paper
Best Practices for Securing Sensitive Data: A Guide for Data Teams

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