Data Access Governance

Default alt text
June 23, 2025

Streamlining Data Governance at Scale with Identifiers in Domains

Key Takeaways Immuta’s identifiers in domains feature is now generally available to all global customers. It addresses a critical gap in traditional metadata catalogs by making sensitive data discoverable and governable within domain boundaries, which adds critical context to policy enforcement. This capability empowers domain governors to classify and control...

Default alt text
April 8, 2025

How Immuta Governance for Databricks Unity Catalog Models, Functions, & Volumes Powers AI & ML Innovation

As enterprises embrace the transformative power of artificial intelligence (AI) and machine learning (ML), they face the challenge of ensuring sensitive data and insights remain secure. Organizations need a streamlined way to control access to resources that power important AI and ML workflows, but often struggle to do so as...

Default alt text
April 3, 2025

How to Use Immuta Policies to Achieve ITAR Compliance

In today’s globalized business landscape, data is a critical asset. However, they must still contend with the friction between provisioning data in real-time, and maintaining security and compliance. For companies dealing with sensitive defense-related information, the stakes are particularly high due to the non-negotiable need to ensure compliance with regulations...

Default alt text
June 29, 2022

Data Masking vs. Tokenization: What’s the Difference?

As cloud technology has become more advanced, data teams are better able to mitigate the risk of unauthorized access. In fact, the array of choices regarding how to protect data at times makes it confusing to know which is right for your organization’s data. When you’re trying to strike a...

Default alt text
April 8, 2021

Why Your Data Governance Strategy Is Failing (And How to Fix It)

At-a-glance: Data governance strategies typically fail due to manual processes and legacy tools, inability to scale, data classification issues, silos and fragmentation, reactive approaches, lack of clear KPIs and executive buy-in, and failure to adapt to AI. By embracing automation, decentralizing data ownership, leveraging metadata, unifying governance across platforms, integrating...

Ready to get started?