Trust3 AI, a pioneer in unified data and AI governance, has announced a strategic integration with Google Cloud’s agentic AI stack. By connecting with the Google Agent Development Kit (ADK) and Vertex AI Agent Builder, Trust3 AI provides enterprises with a native "trust layer" to design, deploy, and scale Gemini-powered agents with built-in guardrails and continuous policy enforcement.
The Integration: Trust3 AI now supports Google Cloud ADK, Vertex AI Agent Builder, and the Agent2Agent (A2A) protocol.
Unified Control Plane: Governs how agents access data and call tools across Google Cloud, Snowflake, Databricks, and SaaS applications.
Trust Agents: Deploys specialized AI agents that monitor other agents to detect hallucinations, risky behaviors, and policy violations in real time.
Intent-Based PBAC: Evaluates agent requests against natural-language policies and frameworks like GDPR, HIPAA, and the EU AI Act.
Cross-Vendor Interop: Extends governance to interactions between internal ADK agents and third-party agents via the A2A protocol.
As enterprises move from simple chatbots to complex multi-agent systems, they face risks such as uncontrolled agent sprawl and opaque decision-making. While Google Cloud provides the infrastructure to build these systems, Trust3 AI provides the governance required for production-grade deployment.
"Agentic systems are only as valuable as they are trustworthy," said Christophe Hassaine, VP of Alliance at Trust3 AI. "By integrating natively with Google's agentic AI stack, we make it possible for enterprises to go from POC to production without sacrificing control."
The integration brings several "policy-aware" features to the Google Cloud ecosystem:
Lifecycle Observability: Captures telemetry from prompts, tool calls, and outcomes to provide architecture teams with a unified view of agentic workloads.
Semantic Enrichment: Bridges the gap between raw data and AI applications, allowing teams to trace exactly which data was used for a specific agent decision.
Automated Intervention: "Trust Agents" can proactively intervene, reroute tasks to safer models, or escalate requests for human approval before an action is taken.
With Google's support for the Model Context Protocol (MCP) and pre-built connectors, agents can now reach into over 100 systems. Trust3 AI ensures that this expanded reach doesn't lead to unauthorized data access. By wrapping ADK workflows in a consistent audit layer, enterprises can maintain a tamper-proof record of every autonomous action, ensuring compliance even as agents interact across different vendors and frameworks.
Trust3 AI is the industry’s first unified platform designed to bridge the gap between data and AI governance. Powered by automated Trust Agents, the platform delivers a single control plane to secure multi-cloud data platforms and AI applications, reducing hallucinations and ensuring compliance with global regulations.
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