Trust3 AI Launches Centralized Governance for Agentic Data Workflows

Most organizations currently manage security through fragmented, system-specific policies that fail to scale when new engines or agents are introduced. Trust3 AI shifts this model by establishing a single policy administration point. This layer delegates enforcement to native systems like Unity Catalog, AWS Lake Formation, and Snowflake, ensuring that access decisions remain consistent regardless of which engine an agent utilizes.

By implementing attribute-based access control (ABAC), the platform replaces thousands of static, role-based rules with dynamic policies. One global media network reported a 100x reduction in policy count after migrating to this approach. This centralization allows enterprises to onboard new platforms with existing governance protocols intact from the first day of deployment.

Beyond basic access control, the company is targeting the complexities of modern data estates by introducing purpose-based access and governed data products. This enables firms to bypass the limitations of individual warehouse capabilities, particularly when managing sensitive information across hybrid stacks. Don Bosco Durai, co-founder and CTO of Trust3 AI, noted that the rise of agentic AI makes the need for consistent, cross-platform governance an urgent priority for data-driven enterprises.