Cloud Computing

Artificial intelligence is reshaping our world – accelerating discovery, optimising systems, and unlocking new possibilities across every sector. But with its vast potential comes a shared responsibility. AI can be a powerful ally for transforming businesses and reducing cost. It can help organizations minimize carbon emissions, industries manage energy use, and scientists model complex climate […]

Many developers are prototyping AI agents, but moving to a scalable, secure, and well-managed production agent is far more complex.  Vertex AI Agent Builder is Google Cloud’s comprehensive and open platform to build, scale, and govern reliable agents. As a suite of products, it provides the choice builders need to create powerful agentic systems at

Executive Summary Based on recent analysis of the broader threat landscape, Google Threat Intelligence Group (GTIG) has identified a shift that occurred within the last year: adversaries are no longer leveraging artificial intelligence (AI) just for productivity gains, they are deploying novel AI-enabled malware in active operations. This marks a new operational phase of AI

Welcome to the first Cloud CISO Perspectives for November 2025. Today, Sandra Joyce, vice-president, Google Threat Intelligence, updates us on the state of the adversarial misuse of AI. 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 you’d

If you’ve ever wondered how multiple AI agents can actually work together to solve problems too complex for a single agent, you’re in the right place. This guide, based on our two-part video series, will walk you through the foundational concepts of Multi-Agent Systems (MAS) and show you how Google’s Agent Development Kit (ADK) makes

Do you find yourself battling surprise cloud bills? Do you spend more time tracking down un-tagged resources and chasing development teams than you do on strategic financial planning? In the fast-paced world of cloud, manual cost management is a losing game. It’s time-consuming, prone to errors, and often, by the time you’ve identified a cost

When we talk about artificial intelligence (AI), we often focus on the models, the powerful TPUs and GPUs, and the massive datasets. But behind the scenes, there’s an unsung hero making it all possible: networking. While it’s often abstracted away, networking is the crucial connective tissue that enables your AI workloads to function efficiently, securely,

Upgrading a Kubernetes cluster has always been a one-way street: you move forward, and if the control plane has an issue, your only option is to roll forward with a fix. This adds significant risk to routine maintenance, a problem made worse as organizations upgrade more frequently for new AI features while demanding maximum reliability.