Enforce fine-grained access control at the column-, row-, and cell-level, with consistent, native enforcement across all leading cloud data platforms — without writing code or copying data.
Before Immuta
- Policy creation and enforcement requires manual effort that takes months
- Enforcement is data platform-specific, not universal
- Thousands of lines of SQL code required
With Immuta
- Automated access takes seconds
- Enforcement works consistently across platforms
- Limited or no code required
Fine-Grained Data Security
Dynamic Data Masking
Apply dynamic masking policies at query runtime with hashing, regular expression, rounding, conditional masking, replacing with null or constant, with reversibility, with format preserving masking, and with k-anonymization, as well as external masking, without the need to write code or copy data.
Dynamic Data MaskingPolicy Orchestration
Orchestrate policy enforcement by mapping powerful ABAC and PBAC models to foundational access controls, without running unsupported data access patterns by the data platform vendor or impacting SLAs.
Secure Data Collaboration
Data-level zones automatically equalize access rights for all users, making it easy and safe to publish derived data sets without leaking data to users with different permissions.
Access Request Workflows
Self-service workflows enable data consumers to request access to data, acknowledge approved usage purposes, request access control changes, and propose new data collaboration projects.
Impersonation
Organizations using service accounts from BI dashboards can impersonate each end user to restrict access based on existing policies, without any disruptive changes or risk of a data leak.





What is data de-identification?
Data de-identification is the removal of personal information, such as names, specific geographic locations, telephone numbers, and Social Security numbers, to prevent the identification of specific individuals within a data set. This practice mitigates privacy risks and prepares data for access, analysis, and sharing
Learn moreWhy is it important to de-identify data?
De-identifying data preserves individuals’ privacy and enables valuable data sharing and use. De-identification is a core requirement for HIPAA compliance, as it ensures that medical and health data can be used in areas such as research, policy assessment, and comparative effectiveness studies, without compromising the individual’s right to privacy.
Learn moreModernizing From an RBAC to ABAC Model: Is It Hard?
The good news is no. The better news is you are already 90% of the way there ...
Read more
What Is a Data Mesh?
A data mesh is a relatively new data platform architecture that moves away from the...

SQL Is Your Data Mesh API
What Is a Data Mesh? As Zhamak Dehghani describes in her original article, “How to...

What is Metadata Management?
Metadata management is the collection of policies, processes, and software/hardware platforms used to manage and...

What Is Data Redaction?
There’s an old adage that all press is good press, but one kind of attention that’s been showered on ...
Why You Need a Data Audit Trail
Data leaks are everywhere in the news. Is your company safe and readily able to...
Read moreHave 29 minutes?
Let us show you how Immuta can transform the way you govern and share your sensitive data.