Trust3 AI has announced a new capability to automatically synchronize row and column-level security policies between Databricks, Snowflake and Microsoft OneLake Security. The launch addresses a critical governance challenge for enterprises unifying data in OneLake while adopting a best-of-breed data strategy. As organizations deploy autonomous AI agents that access data in an indeterministic manner, maintaining consistent security controls across platforms has become essential.
With enterprise data unified in OneLake, customers can easily choose the data platform that best fits their needs. This convenience makes it difficult to govern and secure sensitive information, forcing customers to duplicate access policies across every platform they use. This problem is exacerbated as enterprises deploy autonomous agents that can choose how to access data in an indeterministic manner.
Trust3 AI provides a robust policy engine designed to fortify the enterprise in the era of AI. The platform delivers consistent security and governance for humans and agents alike by mapping source-platform access policies directly to OneLake Security rules, ensuring that every interaction whether by a human or an autonomous agent is validated against the authoritative source of truth in real-time.
Trust3 AI ensures that as agents become more autonomous, they remain inherently trusted. The platform’s architecture ensures that whenever OneLake provides data access, Trust3 AI provides the agent-specific guardrails to ensure that access is used safely and appropriately.
This automated synchronization of policies between platforms eliminates the risk of over-privileged agents and ensures that Power BI and Fabric Data Agents maintain a rigorous security posture across every dataset and access path without manual intervention. The solution complements existing enterprise infrastructure by translating trust intent from source platforms into controls that downstream systems understand.
The integration carries security intent from Databricks and Snowflake into the agent’s identity and permissions in Microsoft Fabric. This gives enterprises a practical way to scale autonomous AI without creating a parallel security model or weakening existing controls.
By maintaining a consistent security posture across OneLake, Databricks, Snowflake and every access path, Trust3 AI enables people and AI agents to work with data freely without compromising governance, supporting responsible, reliable and secure AI adoption.
About Trust3 AI
Trust3 AI provides one control plane for AI agents and data designed to drive responsible, reliable, and secure AI adoption across the enterprise. The platform delivers governed access to enterprise data across OneLake and other data platforms, while providing AI agent discovery, real-time observability, and runtime security helping organizations discover every agent, trace its decisions and actions, and enforce appropriate access controls at scale without compromising compliance. Trust3 AI complements existing enterprise infrastructure, translating trust intent from source platforms into controls that downstream systems understand.
