We use AI agents to scan every code change that we deploy onto our infrastructure, preventing vulnerabilities from reaching production.

With the Build with Gemini event series underway, Google Cloud Consulting is seeing more leaders rethink AI enablement by building quick, daily practice into their teams' routines. In this post, we'll ...

In the borderless Lakehouse, cross-cloud caching reduces data transfers, and BigQuery cross-cloud connections enables querying data in other clouds.

At the DevFest Community Workshop, we spent one intense day building long-running, self-evolving multi-agent systems powered by Google's agentic stack. Ricky Robinett, Senior Director of Developer ...

A native BM25 index in AlloyDB and Cloud SQL provides full-text retrieval without having to provision, manage, or pay for separate systems.

Discover how state and local agencies use Google Cloud AI to break data silos and modernize public services. Join us at the GPS Summit Oct 20.

In the modern data landscape, query performance tuning and managing system price-performance is challenging, especially as the number of agentic workloads increase. Even for experienced developers and ...

Anthropic's agentic coding tool Claude Code has worked with Google Cloud for a while now. An individual developer could easily point CLAUDE_CODE_USE_VERTEX=1 at a Google Cloud (GCP) project, grant the ...

We recently announced the preview of the BigQuery AI.AGG() function. With AI.AGG(), you can use natural-language instructions within a single line of SQL to summarize or synthesize information over ...

As foundation models continue to improve, the lack of relevant context often limits what they can do, especially as they are used to build agentic systems. While these models can help you write code, ...

Today, AI services rely heavily on API keys. To run AI agents, users provide API keys that signify paid tokens, subscriptions, or paid accounts. While API keys are easy to use, it is just as easy to ...

Traditional data catalogs were built as manual inventories for technical users, focusing on table structures rather than the deep context that AI agents need. When agents lack business semantics and ...