San Francisco, September 30, 2026 / PRNewswire / -- Trust3 AI announces the launch of a new feature that allows for automatic synchronization of row-level and column-level security policies between Databricks, Snowflake, and Microsoft OneLake Security.
As enterprise data is aggregated to OneLake, customers can more conveniently select the data platform that best suits their needs. The company notes that while this brings flexibility, it also increases the difficulty of managing and protecting sensitive information. To address this issue, customers often have to repeatedly configure access permission policies on each platform they use. This problem is further exacerbated when enterprises deploy autonomous proxies that can determine how data is accessed in an indeterminate manner.
Trust3 AI indicates that its platform is designed to help enterprises adapt to the AI era, providing a powerful strategy engine and ensuring consistent security and governance for human users as well as AI agents. Trust3 AI directly maps the access policies of the source platform to the security rules of OneLake Security. In this way, whether the interaction comes from humans or autonomous agents, it will be verified in real-time based on authoritative sources.
The company stated that this cross-platform automatic policy synchronization eliminates the risk of proxies obtaining overly broad access rights and ensures that Power BI and Fabric Data Agents maintain a strict level of security for all datasets and access paths without the need for human intervention.
Trust3 AI Chief Technology Officer Don Bosco Durai stated: "The AI agents within a company must inherit the same trust boundaries as the humans and systems they represent. Our integration with Microsoft OneLake Security ensures that the security intentions established in Databricks and Snowflake are carried over to the identities and access permissions of the agents in Microsoft Fabric. This provides a practical method for companies to expand the application of autonomous AI without the need to establish separate security models or weaken existing security measures."
Microsoft Vice President Dipti Borkar stated: "As enterprises adopt data strategies that select the most suitable solutions for different applications, access control should not stop at platform boundaries. Maintaining a consistent level of security across OneLake, Databricks, Snowflake and all access paths is crucial to allowing humans and AI agents to freely use data without compromising governance."
Trust3 AI indicates that as proxies become more autonomous, the platform can still ensure that they possess inherent credibility. This platform architecture means that whenever OneLake grants data access permissions, Trust3 AI provides exclusive security safeguards for the proxies to ensure that these accesses are used securely and appropriately.
About Trust3 AI
Trust3 AI indicates that the company provides a unified control platform for AI proxies and data, aimed at facilitating enterprises to adopt AI in a responsible, credible, and secure manner. This platform offers controlled access to enterprise data on OneLake and other data platforms, and is equipped with capabilities such as AI proxy identity recognition, real-time visualization of operational processes, and security protection during execution.
The company stated that these capabilities can help organizations inventory all proxies, track their decisions and behaviors, and implement appropriate access controls on a large scale without affecting regulatory compliance. Trust3 AI complements the existing enterprise infrastructure by translating the security intentions of the source platform into control mechanisms that are understandable by the underlying systems.
For more information or to request a demonstration, please visit: https :// trust3.ai / demo /.
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