Cloud Computing

AI coding agents are rapidly becoming ubiquitous across the software industry, fundamentally changing how developers write, test, and debug daily code. While these tools excel at localized, self-contained tasks, applying them to massive, systemic codebase migrations requires an entirely new approach. Google is already addressing this challenge by incorporating AI into many migration workflows: x86

Welcome to The Blueprint, a new feature where we highlight how Google Cloud customers are tackling unique and common challenges across industries using the latest AI and cloud technologies. We hope to inspire others looking to innovate in their work. Founded in 2007, Doist is a pioneer in async and remote-first work on a mission

“How will this look on me?” It’s the question every online fashion shopper asks, and one that most retailers still can’t answer well.  Breuninger, a fashion and lifestyle company based in Germany, thought emerging generative media models could be a good fit for this fashion conundrum. Working with Google Cloud, they built a virtual try-on

The AI era demands a fundamental shift in security, and that includes identity and access management (IAM). Traditional controls simply aren’t built for autonomous AI agents that interact with sensitive data at machine speed, a reality we address with our new IAM advancements for the agentic enterprise era.  Engineered as built-in Google Cloud capabilities to

At Google, we see firsthand how cyber threats can outpace traditional defense mechanisms — and how agentic threat intelligence can help bridge the gap. We have a vision for agentic defense where autonomous AI agents, powered by Gemini and fed by our unmatched threat visibility, can reason through complex malware and preemptively neutralize threats at

The agentic era is here, and the public sector is at the forefront of leading this transformation. At Google Cloud Next ’26, it was clear that academia and public sector organizations are no longer just exploring the possibilities of AI; they are actively scaling it across their organizations to drive tangible mission impact. From the

Managing agents and their actions can quickly grow in complexity and introduce security risks unique to AI. To address these challenges, at Google Cloud Next we announced Agent Gateway to provide simple, secure, and governed connectivity across all user-to-agent, agent-to-agent, and agent-to-tools interactions.  As part of Gemini Enterprise Agent Platform, Agent Gateway provides a programmable

The world of AI is rapidly shifting from experimental Large Language Models to an era of Agentic AI. In the agentic era, autonomous software agents act on behalf of employees and consumers—driving a fundamental change in commerce and business operations. This transition presents a critical new challenge: how to securely build, deploy, and govern agents