en.Wedoany.com Reported - Immuta, a leader in data access governance and configuration, announced an expanded partnership with Databricks, a data and AI company, launching four new features designed to help organizations achieve dynamic, context-aware data access and secure intelligent workflows when deploying AI agents at scale on the Databricks platform.
The four new features include: Immuta Smart Data Access for Databricks, Intent-Driven Access Control powered by Databricks Unity Catalog role-based access control, the Immuta "Compliance" App for Databricks Unity Catalog, and a scalable ABAC architecture for group-based permission assignment. Together, these solutions provide organizations deploying AI at scale with dynamic, context-aware data access, secure intelligent workflows, natural language compliance auditing, and enterprise-grade backend performance.
As enterprises deploy autonomous AI agents within the Databricks platform, data security at scale has become a major bottleneck. Traditional models create a dilemma: static service accounts grant agents full access to the entire data lake, while OAuth-based architectures force IT departments to pre-configure Databricks accounts for every employee who might ask a question, and when advanced users initiate queries, agents may inherit full administrator privileges. Immuta believes that moving beyond authentication to centralized context-aware authorization is the only way to constrain agent behavior without increasing operational burden. With Immuta and Databricks, joint customers can securely unlock AI agents that act on behalf of users without exposing sensitive data or overburdening IT teams.
Databricks is built on an open-source foundation, democratizing access to data and AI, making it easier for organizations to build and scale data and AI applications, analytics, and agents. Immuta's new features deeply integrate with Databricks Unity Catalog, specifically leveraging new role-based access control capabilities for intelligent data access, ensuring organizations can innovate with AI without compromising zero-trust governance.
"When organizations try to force modern agents into traditional security frameworks, enterprise AI deployment hits a bottleneck," said Steve Touw, CTO of Immuta. "Relying on OAuth to authorize AI agents forces IT departments to configure accounts for every potential user while facing the risk of catastrophic privilege escalation. Immuta's Smart Data Access feature leverages Databricks' role-based access control capabilities, going beyond basic authentication to achieve true centralized authorization, eliminating account provisioning bloat and ensuring access is always verified, strictly scoped, and secure."
These new features provide strict, centralized delegated authorization, intent-driven access scoping, natural language compliance tools, and significant upgrades to backend scalability. Key features available to Databricks customers include: Immuta Smart Data Access for Databricks, allowing joint customers to securely deploy autonomous AI agents on Databricks without exposing sensitive data or overburdening IT teams; Intent-Driven Access Control, enabling users and AI agents to access only what they need, when they need it, through Databricks Unity Catalog role-based access control and attribute-based access control; the Immuta "Compliance" App for Databricks Unity Catalog, allowing compliance, security, and business teams to answer governance questions in plain English; and group-based permission assignment, enabling data access policies to scale to enterprise levels on Databricks by shifting to a "group-to-object" permission model.
"Customers have consistently asked us for simpler, more seamless ways to integrate their data, analytics, and AI—and to move faster from experimentation to production," said Stephen Orban, Senior Vice President of Product Ecosystem and Partners at Databricks. "With this new integration, Immuta is helping to meet that need, enabling our joint customers to more efficiently build, deploy, and scale data and AI applications and agents on the Databricks platform."
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