Trust3 AI Enhances Data Governance for Agentic AI

Trust3 AI has introduced a centralized data access governance platform, enhancing support for federated catalog governance and multi-engine policy enforcement. As enterprises evolve towards autonomous agents querying structured data, this platform centralizes policy administration. Organizations typically face governance challenges when new engines or agents join their systems. Trust3 AI addresses this by using a single policy administration point for consistent enforcement across native catalogs and engines like Unity Catalog and AWS Lake Formation.

The platform's ability to propagate a unified policy set across multiple engines, including Databricks/Unity Catalog and Snowflake, mitigates exposure risks. Trust3 AI's dynamic attribute-based access control (ABAC) reduces policy sprawl, as demonstrated by a global media network that replaced thousands of policies with a few dynamic ones. New platforms can be onboarded with existing governance without requiring policy rebuilds. This innovation supports organizations in maximizing data accessibility and security in hybrid environments.