Cloud Computing

Data teams seem to be constantly balancing the need for governed, trusted metrics with business needs for agility and ad-hoc analysis. To help bridge the gap between managed reporting and rapid data exploration, we are introducing several new features in Looker, to expand users’ self-service capabilities. These updates allow individuals to analyze local data alongside […]

Welcome to the second Cloud CISO Perspectives for December 2025. Today, Google Cloud’s Nick Godfrey, senior director, and Anton Chuvakin, security advisor, look back at the year that was. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to the Google Cloud blog. If you’re reading this on the website and

In the AI era, when one year can feel like 10, you’re forgiven for forgetting what happened last month, much less what happened all the way back in January. To jog your memory, we pulled the readership data for top product and company news of 2025. And because we publish a lot of great thought

In the latest episode of the Agent Factory, Mofi Rahman and I had the pleasure of hosting, Brandon Royal, the PM working on agentic workloads on GKE. We dove deep into the critical questions around the nuances of choosing the right agent runtime, the power of GKE for agents, and the essential security measures needed

In computing’s early days of the 1940s, mathematicians discovered a flawed assumption about the behavior of round-off errors. Instead of canceling out, fixed-point arithmetic accumulated errors, compromising the accuracy of calculations. A few years later, “random round-off” was proposed, which would round up or down based on a random probability proportional to the remainder. In

You’ve built a powerful AI agent. It works on your local machine, it’s intelligent, and it’s ready to meet the world. Now, how do you take this agent from a script on your laptop to a secure, scalable, and reliable application in production? On Google Cloud, there are multiple paths to deployment, each offering a

The White House’s Genesis Mission has set a bold ambition for our nation: to double our scientific productivity within the decade and harness artificial intelligence (AI) to accelerate the pace of discovery. This requires a profound transformation in our national scientific enterprise, one that seamlessly integrates high-performance computing, world-class experimental facilities, and AI. The challenge

Today’s AI capabilities provide a great opportunity to enable natural language (NL) interactions with your enterprise data through applications using text and voice. In fact, in the world of agentic applications, natural language is rapidly becoming the interaction standard. That means agents need to be able to issue natural language questions to a database and

At Google Cloud, we continue to make critical investments to Vertex AI Agent Builder, our comprehensive and open platform, enabling you to build faster, scale efficiently, and govern with enterprise-grade security. Today, with the integration of the Cloud API Registry, we’re excited to bring enhanced tool governance capabilities to Vertex AI Agent Builder. With this