Dynamic policies help accelerate access to your data, no matter where it's stored. The Immuta Platform unifies and automates policy enforcement natively across data platforms, so your data consumers always get fast access to everything they are entitled to use.
Streamline policy creation.
Many organizations struggle with policy bloat. What starts as a manageable endeavor can quickly snowball into mountains of manual policy changes that are impossible to maintain. Federated policies, built on data and user attributes, can dynamically ensure that all your data is controlled – everywhere and any time.
Reduce complexity with consistent control.
Get the best of both worlds: granular control over data access with fewer policies and management headaches.
Simplify policy authoring
Immuta offers a natural language policy editor that enables non-technical users to author effective policies. This removes work from technical teams, freeing up resources and simplifying the process of implementing data access policies.
High performance, native enforcement
With Immuta, all policies are natively enforced on the data platform being accessed. This maximizes the platform’s utility and ensures an optimal experience for data consumers.
Consistent, cross-platform access control
The Immuta Platform is a unified point of data access control across all connected data platforms. Once a policy has been authored, it can be automatically applied to all platforms, delivering a consistent experience and easy audit and compliance process.
How does the policy entitlement engine operate across the Immuta Platform?
Policy authoring and enforcement rely on a host of other capabilities in order to deliver streamlined, consistent control. From data classification and metadata registry, to audit and domain-based governance, you’re able to apply granular, consistent, dynamic policies.
Metadata Registry
Combining information about your data, with metadata about the people accessing it, provides the elements for dynamic policy authoring.
Accurate data discovery and classification is the foundation of effective access policy enforcement, providing the attributes needed to author granular policies.
The policy entitlement engine makes it possible for people across your organization to work with data quickly, safely, and confidently.
Data Product Owners
Data product owners need to trust that data access policies are effective for the data assets they publish. With global policies deployed across platforms, they can create data products without concern that inconsistent or incorrect data access controls will increase risk.
Authoring data access policies in natural language enables non-technical data stewards to control domain data access, without relying on over-burdened technical teams to translate their policy requirements.
Consistent policy, enforced across all data platforms, eliminates the frustration of unexpected over- or under-provisioned access to data and the subsequent delays in productivity.
Save time and effort when building and maintaining access policies. Policies are authored once, and enforced across all data platforms, eliminating duplicative work associated with building individual controls.
The ability to build data policy in natural language removes the need for IT teams to be involved in the policy creation workflows. This saves time and resources, freeing data engineers to work on high value projects.