Immuta pioneered the category of automated, fine-grained access control over sensitive analytics data. Now, data engineering teams can ensure analysts have the right level of access to the right data, without making copies, struggling with complex role-based access or adding new tools or data infrastructure.
Explainable Policy Builder
Immuta’s no-code policy builder lets you author policies in plain English, without code, so all security and governance stakeholders understand how analytics access control is managed and protected. Data engineers can also use Immuta’s rich APIs to make policies extensible to other tools in the data stack.
Column-, Row- and
Immuta uniquely provides fine-grained access control at the column-, row- and cell-level, with native support for Databricks, Snowflake and other leading data platforms. Data within protected rows or cells will dynamically appear, change or disappear based on access control policies enforced dynamically at query time.
Privacy Enhancing Technologies (PETs)
For organizations subject to one or more privacy regulations, Immuta’s access control policies include advanced Privacy-Enhancing Technologies (PETs) — such as dynamic data masking, differential privacy, k-anonymization, and randomized response — to protect private data and ensure compliance. Immuta’s PETs are enforced dynamically at query time without copying data or requiring any manual data preparation.
Many data engineering and administration teams suffer from “role-explosion,” requiring the management of hundreds or thousands of user roles to control access to data in specific tables or databases. Immuta solves this problem with attribute-based access control (ABAC), which uses dynamic attributes to enforce data protection at query time. Because Immuta’s architecture decouples users and authorization, it can enforce dynamic policies based on data and user attributes such as geography, time and date, clearance level and purpose. A single Immuta ABAC policy can replace over 100 roles, saving time and reducing security risks.
New and expanding government regulations, such as CCPA and the GDPR, prevent analytics teams from legally using sensitive data without clear and intended ‘purposes’. Immuta provides consent workflows for your data platform to audit purpose and create attribute-based controls that enforce who can use what data and why. Now you can limit data use to specific purposes, ensuring that specific datasets are accessed only under legal purposes.