Cloud Computing

Achieve agentic productivity with Vertex AI Agent Builder

Enterprises need to move from experimenting with AI agents to achieving real productivity, but many struggle to scale their agents from prototypes to secure, production-ready systems.  The question is no longer if agents deliver value, but how to deploy them with enterprise confidence. And there’s immense potential for those who solve the scaling challenge. Our

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Supercharging Employee Productivity with AI, Securely, with Gemini in Chrome Enterprise

AI is transforming how people work and how businesses operate. But with these powerful tools comes a critical question: how do we empower our teams with AI, while ensuring corporate data remains protected? A key answer lies in the browser, an app most employees use every day, for most of their day. Today, we announced

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Partnering with Google Cloud MSSPs: Solving security challenges with expertise & speed

Organizations today face immense pressure to secure their digital assets against increasingly sophisticated threats — without overwhelming their teams or budgets.  Using managed security service providers (MSSPs) to implement and optimize new technology, and handle security operations, is a strategic delegation that can make internal security operations staff more efficient and effective. At Google Cloud,

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Inside the AI-powered assistant helping doctors work faster and better at Seattle Children’s Hospital

Though its name may suggest otherwise, Seattle Children’s is the largest pediatric healthcare system in the world.  While its main campus is in its namesake city, Seattle Children’s also encompasses 47 satellite hospitals across Alaska, Montana, Idaho, and Washington, and patients come from as far away as Hawaii for treatment. For more than 100 years,

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Network Performance Decoded: Much ado about headers, data and bitrates

We are happy to drop the third installment of our Network Performance Decoded whitepaper series, where we dive into topics in network performance and benchmarking best practices that often come up as you troubleshoot, deploy, scale, or architect your cloud-based workloads. We started this series last year to provide you helpful tips to not only

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How Mr. Cooper assembled a team of AI agents to handle complex mortgage questions

In today’s world where instant responses and seamless experiences are the norm, industries like mortgage servicing face tough challenges. When navigating a maze of regulations, piles of financial documents, and the high stakes of homeownership, consumers quickly find that even simple questions can turn into complicated issues. And the same can be true for the

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How to secure your remote MCP server on Google Cloud

As enterprises increasingly adopt model context protocol (MCP) to extend capabilities of AI models to better integrate with external tools, databases, and APIs, it becomes even more important to ensure secure MCP deployment.  MCP unlocks new capabilities for AI systems; it can also introduce new risks, such as tool poisoning, prompt injection, and dynamic tool

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