/PRNewswire/ — Trust3 AI is launching new functionality to automatically sync row- and column-level security policies between Databricks, Snowflake and Microsoft OneLake Security. With enterprise data brought together in OneLake, customers can easily choose the data platform that best suits their needs. That’s useful, but makes it difficult to manage and secure sensitive information. To resolve this, customers are forced to duplicate the access rights policy on each individual platform they use. This problem is exacerbated when enterprises deploy autonomous agents that can non-deterministically determine how to access data.
Built to empower enterprises in the AI era, Trust3 AI provides a powerful policy engine that ensures consistent security and governance for both people and agents. Trust3 AI links the access policies of the source platforms directly to the security rules of OneLake Security. This way, every interaction, whether from a human or an autonomous agent, is checked against the authoritative source in real time. This automatic synchronization of policies across platforms eliminates the risk of agents having overly broad access rights and ensures that Power BI and Fabric Data Agents maintain a strict level of security across all data sets and access routes without manual intervention.
“AI agents within enterprises must adopt the same trust boundaries as the people and systems they act on behalf of,” said Don Bosco Durai, CTO of Trust3 AI. “Our integration with Microsoft OneLake Security ensures that the security intent of Databricks and Snowflake is reflected in the identity and access rights of agents within Microsoft Fabric, giving enterprises a practical way to scale autonomous AI without creating a separate security model or weakening existing security measures.”
“As enterprises adopt a data strategy that selects the most appropriate solution for each application, access controls cannot stop at the boundaries of a platform. Maintaining a consistent level of security across OneLake, Databricks, Snowflake and all access routes is essential to giving people and AI agents the freedom to work with data without compromising governance,” said Dipti Borkar, Vice President, Microsoft IQ and OneLake at Microsoft.
Trust3 AI ensures that agents remain inherently reliable even as they become more autonomous. The architecture of the platform ensures that whenever OneLake grants access to data, Trust3 AI provides agent-specific security frameworks to ensure that access is used securely and appropriately.
Over Trust3 AI
Trust3 AI provides a single, central management platform for AI agents and data, designed to promote the responsible, reliable, and secure adoption of AI across enterprises. The platform provides controlled access to enterprise data in OneLake and other data platforms, as well as capabilities for identifying AI agents, real-time visibility into their operations, and security at runtime. It helps organizations map all agents, track their decisions and actions, and enforce appropriate access controls at scale without compromising regulatory compliance. Trust3 AI complements existing enterprise infrastructure by translating the security intent of source platforms into controls that understand underlying systems. For more information or to request a demonstration, visit_https://trust3.ai/demo/.
For questions please contact:
Angela Chen
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