When a Gemini Enterprise user requests a business KPI in Gemini Enterprise, the request is routed directly to a Looker agent. The semantic layer generates deterministic, precise SQL based on version-controlled business logic. This helps ensure when an executive asks for “Revenue,” they get the exact, governed enterprise metric — not a guess.
Robust governance and secure access management
Data governance and security are critical when introducing AI to enterprise data warehouses. Organizations can’t risk corporate information being loosely ingested, indexed, or exposed outside of strict permissions.
Looker’s integration with Gemini Enterprise is built on a zero-risk pass-through architecture, processing the data, but not writing to persistent storage. Gemini Enterprise does not ingest, replicate, or store your underlying database records. Instead, the integration operates safely and securely over the A2A protocol, following these core tenets:
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OAuth authorization: In order to interact with a Looker agent within Gemini Enterprise, end users provide a secure, one-time OAuth consent. This binds their Gemini session to their specific Looker credentials.
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Strong governance enforcement: Because the architecture relies on live pass-through queries, Looker’s existing row-level and column-level access controls are maintained.
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Strict security isolation: If a user does not have permission to view, say, sensitive regional payroll or financial rows within the Looker platform, the Looker agent actively restricts that data in the Gemini environment. Should an agent be published to the Agent Gallery to simplify discovery, it still does not bypass the security controls that you established.
Technical capabilities and enterprise readiness
Deploying Looker agents natively into Gemini Enterprise via the A2A protocol doesn’t just make it smarter — it makes it more interactive and interoperable, without sacrificing security. Here are some of the features you’ll find in this release.
Rich visual interactivity: support for charts
They say a picture is worth a thousand words. When users interact with Looker agents inside Gemini Enterprise, the platform goes beyond textual explanations and provides native, interactive data charts. If a user asks for a visual trend—such as monthly sales performance or regional distribution—the Looker agent maps the database response with rich, presentation-ready visualizations directly inside the universal chat box.
Note: If you published Looker agents in Gemini Enterprise prior to Looker release 26.12, we recommend updating or refreshing them to take advantage of these enhanced visualization capabilities.
Interoperability with first- and third-party agents
Looker agents published to Gemini Enterprise can understand context across different agents and data sources. Leveraging standard communication frameworks, these agents can securely share structured, governed insights with other first-party Google Cloud agents like the Deep Research Agent or external third-party agents to create structured workflows. This enables complex multi-agent orchestration, where an enterprise operational agent can pull data from a Looker agent to feed into a separate productivity or supply-chain workflow.
Looker-based user authentication
To preserve enterprise governance, this integration implements a robust, identity-centric authentication model. Users are required to provide a one-time OAuth consent, binding their active Gemini Enterprise session securely to their underlying Looker credentials. This helps ensure that every conversational query hitting your databases is authenticated at the user level, enforcing pre-existing Looker permission structures, row-level data access filters, and column-level masking rules — no exceptions.
Trusted data in Gemini Enterprise
The future of work is agentic. Gemini Enterprise provides a single, secure architecture to deploy a global digital task force,empowering your business with the best of Google AI for developers, employees, and customers.
The integration of Looker with Gemini Enterprise not only brings trusted data analytics to business users but also adds rich interactivity, visual charts, and data storytelling directly into their everyday workspace. As business users embrace this agentic new way of working, they aren’t just getting text answers; they are getting presentation-ready visualizations that bring operational metrics to life and deliver complex insights.
To get started, learn how to publish your data agents in Gemini Enterprise to make your agent’s predefined context and analytics available to your entire organization.
