“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.”
Discover
Accurate Metadata for Data Security
Immuta automatically discovers structured data in data lakes and warehouses, categorizing sensitive data like PII and PHI according to frameworks such as GDPR, HIPAA, PCI, and others. This gives you full visibility into what data requires access control and continuous monitoring.
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Quickly understand your data, what is sensitive, and how to proactively monitor it
Comply with regulations like GDPR or HIPAA, and import your own compliance frameworks
Get accurate metadata and actionable tags, enabling you to secure your data
Leverage metadata to control data privacy and improve your data security posture
Data Inventory
Automatically and continuously inventory the data in cloud data platforms like Snowflake, Databricks, Trino/Starburst, and Redshift. Understand what data you possess at a granular level.
Sensitive Data Discovery
Discover sensitive data like PII or PHI with 60+ pre-built classifiers on a per-column level. Customize and import identifiers to find data specific to your organization.
Regulatory Frameworks
Categorize all your data automatically according to regulatory frameworks such as CCPA, GDPR, HIPAA, or PCI. Customize and import your company-specific frameworks to ensure compliance at every level.
Sensitivity Classification
Immediately understand your sensitive and highly sensitive data, and classify it based on context and proximity to other potentially sensitive information.
In-Platform Processing
Analyze large amounts of data within your cloud platform or database, and quickly profile it. Avoid having to wait for slow data transfers with peace of mind that only metadata syncs back to Immuta.
Data Residency
Adhere to data localization and residency requirements by design (no data ever leaves the data store). Even if you run a global platform, data gets analyzed in-region.
Immuta Data Security Platform
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
60x
increase in users accessing data
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.
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