Trust3 AI announces native integration with Google Cloud’s Agenttic AI stack to provide data and AI governance for agenttic applications
san francisco, April 21, 2026 /PRNewswire/ — Trust3 AI, the unified data and AI governance platform, today announced new integrations with Google Cloud’s Agent AI stack, including the Agent Development Kit (ADK) and Vertex AI Agent Builder. This integrated solution helps enterprises design, deploy, and scale Gemini-powered multi-model AI agents with built-in guardrails, continuous policy enforcement, and full lifecycle observability across data and AI.
As enterprises move from single-prompt chatbots to complex agent systems, they face three compounding risks: uncontrolled agent sprawl, opaque decision-making, and fragmented governance across data, models, and tools. Google’s ADK and Vertex AI Agent Builder provide a powerful foundation for building multi-agent applications using Gemini and other models, connecting agents to over 100 systems through connectors and MCPs, and orchestrating autonomous workflows at scale.
But without a unified trust layer, enterprises still struggle to ensure that all agent actions comply with data policies, regulatory obligations, and business logic across clouds and applications.
What Trust3 AI adds
Trust3 AI provides an integrated platform to manage both data and AI, leveraging automated “Trust Agents” that continuously monitor and control how agents access data, invoke tools, and perform actions. Trust3 AI already provides agent governance for modern data platforms such as Snowflake, Databricks, and Starburst, with features such as a unified catalog, intent-based PBAC, semantic enrichment, and end-to-end auditability.
Christophe Hassaine, Vice President of Alliances at Trust3 AI, said: “Native integration with Google’s agent AI stack enables enterprises to move from POC to production with Gemini and multi-agent applications without sacrificing governance, compliance, or control.”
With this new integration, Trust3 AI becomes the native trust layer for agent applications built on Google Cloud, wrapping Gemini-based agents, ADK workflows, and Vertex AI Agent Builder experiences with policy-aware controls, observability, and compliance.
Policy-aware agents for smarter AI governance
Trust3 AI seamlessly integrates with ADK-based agents and Vertex AI Agent Builder workloads to serve as a critical policy decision and enforcement point. Trust3 AI ensures safe and compliant action execution by evaluating every agent request against natural language policies, intent-based PBAC (policy-based access control) rules, and regulatory frameworks such as GDPR, HIPAA, and EU AI laws.
Unified governance across the AI ecosystem
Trust3 AI bridges the gap between raw data sources, managed datasets, and AI applications with a unified catalog. This transparency allows businesses to track agent activity while identifying what data was accessed, under which policies, and for what business purpose. Leveraging Google’s MCP support and pre-built connectors, Trust3 AI extends governance from your data platform to downstream SaaS applications and custom tools used by ADKs or Vertex agents.
Trust Agent: Enhancing the Trust of Agent AI
To manage multi-agent topologies, Trust3 AI deploys specialized Trust Agents that monitor how agents delegate tasks, share session state, and coordinate actions across Google’s agent architecture. These trust agents proactively detect risky behavior, hallucination-prone patterns, and policy violations in real time. You can automatically intervene, reroute tasks to safer agents, or escalate for human approval to ensure the reliability and trustworthiness of agent AI systems.
Building trust across the agent ecosystem
Google’s Agent2Agent (A2A) protocol enables interoperability between agents built on different frameworks and vendors. Trust3 AI enhances this capability by adding a consistent layer of trust and audit to interactions between vendors. Enterprises can securely connect internal ADK agents to third-party or partner agents while maintaining end-to-end visibility, robust guardrails, and tamper-proof audit trails.
AI workload lifecycle governance and observability
Trust3 AI captures rich telemetry from agent prompts, tool calls, decisions, and results, giving architecture and risk teams a unified view of Gemini-based and multi-model agent workloads on Google Cloud. This comprehensive observability allows teams to experiment, refine policies, and continuously optimize agents while meeting auditing and reporting requirements without delaying innovation.
About Trust3 AI
Trust3 AI is the industry’s first unified agent platform designed to bridge the gap between data and AI, providing a single control plane to manage access, usage, and risk across multicloud data platforms and AI applications. Powered by an automated Trust Agent, the platform provides instant agent discovery, natural language policy creation, and real-time guardrails to protect the entire ecosystem while preventing bias and ensuring compliance with global regulations. Enterprises use Trust3 AI to replace manual governance sprawl with agent-driven governance, reducing illusions and providing deep visibility into how agents and applications interact with sensitive data.
Ibby Rahmani
head of marketing
Trust3 AI
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