How to Implement Immuta within Collibra

Immuta is the universal cloud data access control platform that gives data engineering and operations teams the power to automate access control across their entire cloud data infrastructure. By leveraging metadata to build and automatically enforce data access policies at query time, Immuta allows organizations to unlock the full value of their data — even the most sensitive data — while improving productivity, reducing time to data, maintaining strong security, and enabling new data sharing use cases.

Collibra is an Immuta partner and offers a data intelligence cloud platform with a best-in-class catalog, flexible governance, and continuous quality. Collibra creates unified views of all data assets with metadata, helping to deliver reliable, easy-to-find data that can be leveraged enterprise-wide. With Immuta, Collibra customers can maximize the power of metadata to seamlessly create and implement dynamic data policies that provide secure self-service data access in real-time. 

Why do Collibra customers adopt Immuta?

The Collibra enterprise data catalog brings data, business, and IT teams together to discover, register, and share data. However, the onus is on data architects and engineers to ensure the necessary controls are continuously implemented in order to effectively enforce data access policies for compliant data use. Additionally, policy enforcement on data access on cloud data platforms such as Databricks, Snowflake, and others must account for real-time changes to data, roles, purposes, or other dynamic attributes.

We are committed to helping organizations find, understand, and trust their data so they can derive value across the business. Partnering with Immuta allows clients to extend their Collibra metadata and data governance capabilities by empowering data scientists with more control over their data, all while better managing regulatory risk.

– Stijn Christiaens, Co-Founder & Chief Technology Officer, Collibra

Immuta provides a data access control layer that integrates with metadata tags from Collibra to provide automated security and privacy controls that enforce the enterprise policies for data analytics use. That way, if there are assets or elements that should not be used or leveraged by certain analysts, those analysts are not necessarily fully blocked from the data; instead, they are able to query a resource that provides an appropriate level of insights while still retaining, masking, or obfuscating objects that shouldn’t be accessed or viewed. All of this is done automatically at query time, so that analysts still receive quality data, with the caveat that it is amended for their specific needs and permissions.

With this fine-grained access control, organizations leveraging Immuta with Collibra are able to accelerate safe, self-service access to data without burdening multiple parties throughout the organization with policy implementation management. What specific capabilities does Immuta offer to data platform and engineering teams in Collibra shops?

How is Immuta implemented within Collibra?

  • Immuta administrators are able to build and automatically apply global semantic-based policies using Collibra metadata tags, which significantly improves the speed and scale of advanced analytics programs.
  • Immuta connects via Collibra APIs to help data scientists use data with policies automatically enforced through Immuta.
  • Policies can be changed dynamically as Collibra metadata changes, and users with varying access levels can collaborate on model development and analysis while ensuring data security.

How can data-driven organizations benefit from Collibra with Immuta?

Within Collibra, metadata and data usage are mutually beneficial: The more data consumers use Collibra, the better its metadata becomes, and the better its metadata becomes, the easier it is for users to find data. Adding Immuta to that cycle helps ensure that the right data is accessible to the right people at the right time, based on metadata-informed access control policies.

Leveraging metadata to automatically enforce these policies at query time removes the burden on data engineers and architects, as well as other stakeholders throughout the organization, to manually monitor policy implementation. Now, data users will not be prohibited from accessing data that doesn’t explicitly map to their role, but rather will see data with the appropriate level of insight based on dynamic attributes like usage purpose, data type, time, and more.

Immuta and Collibra’s proactive approach to data access control simplifies the responsibilities of data engineering and DataOps teams while making data access seamless and secure for all users.