Trust3 AI: Unifying Security for Databricks AI Gateway

Trust3 AI has extended its agent security controls to the Databricks Unity AI Gateway. This means security teams can now set and enforce policies from a single location across all agent gateways they operate. What's interesting is that companies often govern agents one platform at a time, with each platform having its own gateway. Trust3 AI aims to solve this fragmentation. Balaji Ganesan, Co-founder and CEO of Trust3 AI, explains that while platforms rightly ship their own gateways, enterprises use multiple platforms. Trust3 AI provides a security control plane above these platforms to unify policies. Fragmentation leads to agents stalling in review, unmetered spending across gateways, and difficult audits. A gateway typically checks if a request is allowed, but it doesn't always check the context of that request. For example, a support agent and a fraud agent querying the same table look identical to a gateway. Trust3 AI adds purpose-based access control, a unified metadata and policy graph, and a consistent audit trail above the Unity AI Gateway. This helps answer what an agent is allowed to do and what data it touched. The bottom line is that this integration helps enterprises manage and secure their AI agents more effectively across different platforms.