Immuta Data
Security Platform

The Immuta Data Security Platform helps organizations unlock value from their cloud data by providing sensitive data discovery, security and access control, and activity monitoring. With better data security and simpler operations, organizations can get the right data to the right people so they can build more data products, collaborate, share data, and create new revenue streams.

Learn More

What customers say

It is absolutely important for any organization to build an easy-to-use platform with the capabilities various users require to scale analytics. Immuta and Databricks have made our lives easier by ensuring the right people have the right access to the right data at the right time.

Vineeth Menon Head of Data Lake Engineering

Databricks opens up many opportunities for self-service data analytics, data science, and enterprise reporting. Paired with Immuta, we can make all our data available to all types of business analysts, data scientists and data engineers.

Ajay Sahu Director of Enterprise Data Management

We look forward to helping bring Immuta’s cloud data access control capabilities to more joint customers as they’re building their future data and analytics stack on the lakehouse platform.

Ali Ghodsi CEO and Co-Founder

With Immuta, we’ve been able to streamline data science and engineering teamwork, dynamically adapt in real time, and accelerate productivity.

Halim Abbas Chief AI Officer

Immuta’s automated, integrated approach to data access control brings fine-grained data security to Snowflake customers who deal with large amounts of sensitive data.

Tariek Dwiek Director of Technology Alliances

By incorporating Immuta’s data security and privacy capabilities, we have enhanced the overall strength and security of the platform.

Walid Mehanna Head of Data & Analytics

Immuta is the go-to technology to implement our vision of an internal ‘Data & Analytics Marketplace’, enabling full transparency on the relevant data assets with secure and compliant data access.

David Abrahams Data Leader

Databricks gives us scale and speed, Immuta gives us trust and privacy.

Slava Frid CTO

Data Security Platform

Immuta is architected to integrate seamlessly into your cloud environment, providing native integrations with the leading cloud vendors. Following the NIST cybersecurity framework, Immuta covers the majority of data security needs for most organizations.


Sensitive data discovery

  • Identify, Tag, and Classify Data
  • Auto Schema Changes Capture
  • Identity Metadata Synchronization

Security and access control

  • Plain Language Data Policies
  • Dynamic Data Access Control
  • Federated Governance

Data use tracking and remediation

  • Data Security Posture Management
  • Access Behaviour Analytics
  • Data Risk Profile Indicators
ABAC 101

How Attribute-Based Access Control Works

Data teams are moving from RBAC to ABAC to make building and applying data policies simpler and more scalable. Instead of roles, ABAC uses tags - or metadata - to make runtime decisions on what data a user can see. But, ABAC is more than just tagging.

Learn More

Why Immuta

Learn More
100x Faster
Data Access

Streamline data access flows and approvals, going from months to seconds.

93x Fewer
Data Policies

Reduce the number of policies required with Attribute-Based Access Control.


Prove compliant data use with company rules and external regulations.

Frequently Asked Questions

What is data security management?

Data security management is the collection of processes and techniques meant to protect data against unauthorized access, use, and corruption. This can include the management of measures such as data access control, data governance, compliance, and other methods for ensuring the security and privacy of sensitive information.

What is attribute-based access control and why is it important?

Data access control is used to manage access to a company’s data by allowing access to authorized database users and restricting access to unauthorized internal and external individuals. If used correctly, it offers a variety of business benefits, including increased efficiency of data analytics, data governance, data-rich application development, and compliance, as well as quicker results and greater value derived from sensitive data.

Learn More
What is fine-grained access control?

Fine-grained access control is a method of managing data access that uses specific policies to restrict access at the row-, column-, and cell-level, ensuring that sensitive information is thoroughly protected when large amounts of data are stored together. With fine-grained access control, each data point has a unique access control policy, making protection measures more precise and allowing data with varying regulatory requirements to be securely stored and used together.

What’s the difference between RBAC, ABAC, and PBAC?

Role-based access control (RBAC) grants data access to users based on their role or function within the organization. This type of access control works for small organizations with few data sets and data users, but as roles, users, and rules change, data teams are forced to create new roles to accommodate organizational evolutions. As a result, a system may contain hundreds or thousands of roles that are difficult to manage and scale as organizations grow, which can lead to increased risk of data leaks and breaches.


Attribute-based access control (ABAC) is an approach to data security that permits or restricts data access based on assigned user, object, action, and environmental attributes. In contrast to RBAC, ABAC has multiple dimensions on which to apply access controls. This makes attribute-based access control a highly dynamic model because policies, users, and objects can be provisioned independently, and policies make access control decisions when the data is requested.


Policy-based access control (PBAC) applies regulation-based restrictions to sensitive personal data, as detected by automated sensitive data discovery tagging. When combined with data masking tools, this reinforces confidence that the right people are accessing the right data at the right time, and for appropriate purposes. For regulatory compliance and data audit trails, this level of control is particularly powerful and critical for ensuring data is adequately protected and reportable to legal and compliance teams.

What should I look for in data masking technology?

Effective data masking technology must fulfill a few distinct functions. First, it should enable the identification of sensitive data so it can be masked appropriately. It should also consider referential integrity, data access and governance measures, and ensure repeatability and the ability to scale. Finally, data masking technologies that enable privacy enhancing technologies (PETs) offer advanced protection for sensitive data. By fulfilling these functions, data masking technology can work to proactively protect your sensitive data from any sort of breach, leak, or misuse without getting in the way of data consumers’ needs.

What are attribute-based access control implementation best practices?

Attribute-based access control (ABAC) is a dynamic and multidimensional approach to data security. When implementing ABAC, it is best to ensure you have a tool that enables simple, scalable policy creation and enforcement in order to avoid unnecessary manual work or role-explosion. The ABAC model should also be flexible, with the ability to adapt to the ever-changing world of compliance and governance. Automation, universal cloud compatibility, and customized permissions can work in tandem to provide users with safe and effective access to their data. Immuta’s attribute-based access control model provides these features and more.

What are the four types of access control?

The four main types of access control are discretionary, mandatory, role-based, and attribute-based. With discretionary access control (DAC), users create rules to determine who has access to the data through access control lists (ACLs) and capabilities tables. Mandatory access control (MAC), often regarded as the strictest type, takes a hierarchical approach to data access in which a systems admin regulates data access based on varying security clearance levels, and is widely used in the government and military. Role-based access control (RBAC) depends on a systems admin to grant access permissions based on a user’s role within the organization. Unlike RBAC, attribute-based access control (ABAC), enables data access based on attributes of the user, object, action, and environment, creating a dynamic system that vastly reduces the number of policies needed to enforce access control and avoids the need to create new roles for all changes to a data environment.

Why is there a need for data access control?

The ability to store large amounts of information together is a substantial competitive advantage. However, this data can vary in terms of type, source, and security level. With organizations accelerating movement to the cloud and adopting multiple cloud data platforms, it’s imperative to maintain control over who can access what data and for what purpose. Without data access control to dictate that, organizations run the risk of experiencing data leaks, breaches, and otherwise unauthorized access that can be costly from a monetary standpoint — in the form of penalties for violating data use rules and regulations — as well as from a privacy standpoint, as data subjects’ personal information and proprietary business data may be exposed. Before the onset of cloud data use, when data types could be stored in separate locations with access dictated according to those locations, coarse-grained access controls worked sufficiently. But, as data is increasingly co-located in the cloud and use cases expand, fine-grained data access control is essential to enable data use without running into security or compliance issues.

What is the strictest access control model?

Mandatory Access Control (MAC) is considered the strictest access control model. Primarily used by the government and military, this form of access control takes a hierarchical approach to regulating data access. Security labels, denoting both classification and category, are placed on the available resources by system admins and cannot be changed by any other users. The same labels are attributed to the system’s users, so only those with the proper security credentials are able to access certain resources within the system.

Have 29 minutes?

Let us show you how Immuta can transform the way you govern and share your sensitive data.