The modern data stack was built for humans asking questions. Google just rebuilt its for agents taking action.

Google's Agentic Data Cloud rewires BigQuery, its data catalog and pipeline tooling around autonomous AI agents — not the human-scale queries enterprise data stacks were built for.

Databricks research shows multi-step agents consistently outperform single-turn RAG when answers span databases and documents

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with ...
AZ Central

Query Workers: AI Security Agents With No Data Boundary

AI agents built on the Security Data Mesh — reaching every source, including the data that never made it into your SIEM. The industry spent two years bolting AI onto SIEMs. We spent that time building ...
KRON4 News

Query.ai Launches Agents and Data Pipelines to Cut Through Security Data Chaos

Query.ai, Inc., an early pioneer in federated search for cybersecurity, today announced two new features, Query Agents and Query Security Data Pipelines to help security teams turn raw telemetry into ...