Google Integrates Looker into Gemini Enterprise: Governed AI Analytics via Agent-to-Agent Protocol
On August 11, 2026, Google integrated Looker into Gemini Enterprise, enabling business users to query structured data in natural language through conversational AI agents governed by Looker's code defined semantic lay... The zero risk pass through architecture means Gemini Enterprise never ingests or stores database...
On August 11, 2026, Google integrated Looker into Gemini Enterprise, enabling business users to query structured data in natural language through conversational AI agents governed by Looker's code defined semantic lay...
The zero risk pass through architecture means Gemini Enterprise never ingests or stores database records; all row and column level permissions, VPC Service Controls, CMEK encryption, and compliance certifications (Fed...
What was Google's August 11, 2026 announcement about integrating Looker into Gemini Enterprise, how does the integration work using Google'sA conceptual visualization of Google's Looker-Gemini Enterprise integration, where a conversational AI agent is published from Looker (left) into Gemini Enterprise (center) via the Agent-to-Agent protocol, querying governed data from BigQuery (right) with live interactive charts.
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Create a landscape editorial hero image for this Studio Global article: What was Google's August 11, 2026 announcement about integrating Looker into Gemini Enterprise, how does the integration work using Google's. Article summary: On **August 11, 2026**, Google announced the integration of **Looker into Gemini Enterprise**, bringing Looker's governed semantic layer directly into its workplace AI platform so business users can ask natural-language . Topic tags: general, documentation, general web. Style: premium digital editorial illustration, source-backed research mood, clean composition, high detail, modern web publication hero. Use reference image context only for broad subject, composition, and topical grounding; do not copy the exact image. Avoid: logos, brand marks, copyrighted characters, real person likenesses, fake screenshots, UI text, readable text, watermarks, charts with fak
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On August 11, 2026, Google announced the integration of Looker into Gemini Enterprise, bringing Looker's governed semantic layer directly into its workplace AI platform so business users can ask natural-language questions of their data through conversational agents .
How the integration works
Agent-to-Agent (A2A) protocol — Looker analysts and administrators publish conversational analytics agents from Looker into Gemini Enterprise using the A2A protocol . Employees can then chat with these data agents directly inside Gemini Enterprise.
Governed semantic layer (LookML) — Instead of an LLM querying raw database tables (which produces unreliable SQL), the agents reference Looker's code-governed semantic layer. LookML defines business metrics, joins, and logic in a single source of truth, so natural-language questions are translated against pre-defined, trusted definitions rather than ad-hoc schema guesses . This dramatically reduces hallucination and data errors.
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On August 11, 2026, Google integrated Looker into Gemini Enterprise, enabling business users to query structured data in natural language through conversational AI agents governed by Looker's code defined semantic lay...
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On August 11, 2026, Google integrated Looker into Gemini Enterprise, enabling business users to query structured data in natural language through conversational AI agents governed by Looker's code defined semantic lay... The zero risk pass through architecture means Gemini Enterprise never ingests or stores database records; all row and column level permissions, VPC Service Controls, CMEK encryption, and compliance certifications (Fed...
Live queries — When a user asks a question, the agent generates a query against the semantic layer, runs it live against the underlying cloud warehouse (e.g., BigQuery), and returns results in real time .
Zero-risk pass-through security and governance
The integration is built on a zero-risk pass-through architecture:
No data ingestion or storage — Gemini Enterprise does not ingest, replicate, or store the underlying database records when a user queries data through Looker agents. The data is processed transiently and never written to persistent storage .
Existing permissions preserved — All row-level and column-level Looker permissions, data access controls, and security policies remain fully enforced .
VPC Service Controls and CMEK — Gemini Enterprise supports VPC Service Controls and Customer-Managed Encryption Keys (CMEK) for added data isolation and encryption governance .
Compliance certifications — The platform maintains FedRAMP, ISO 27001/27017/27018/27701, SOC 1/2/3, PCI DSS, and BSI C5 certifications .
The core promise: users get the power of an LLM-driven analytics assistant with no risk of data leakage, no persistent copy of sensitive records, and no bypass of existing governance rules .
New capabilities in the release
Native interactive charts — Agents can render live, interactive charts directly within Gemini Enterprise chat, not just text responses .
Multi-agent interoperability — Looker conversational analytics agents published via A2A can interoperate with other Gemini Enterprise agents (e.g., document agents, custom MCP-based agents), enabling cross-domain workflows .
Insight Assistant transparency — Looker's Insight Assistant now shows users the step-by-step process it used to generate a response, including which fields and data points it referenced .
docs.cloud.google.comLooker release notes | Google Cloud