Cloud Computing

Cloud CISO Perspectives: Going beyond 2FA to address fast-rising, emerging threats

Welcome to the second Cloud CISO Perspectives for July 2025. Today, Andy Wen, director, product management, Workspace Security, discusses new efforts we’re making to defend against identity-based cyberattacks. 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

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Ride-share-like planning with Agentic AI: Pluto7 + Google Agentspace transform supply Chains

Pluto7, an early Google partner, has integrated Agentspace into its Planning in a Box platform Pi Agent to address inventory and demand planning challenges. Agentspace provides an Agent Development Kit (ADK) for building specialized agents and an A2A (Agent-to-Agent) communication protocol for agent collaboration. These tools facilitate a shift from static workflows to dynamic, adaptive

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Veo 3 and Veo 3 Fast are now generally available on Vertex AI

Veo 3 has seen massive global adoption with over 70 million videos created since May, and we’ve seen tremendous momentum with our enterprise customers as well. Since its preview launch on Vertex AI in June, enterprise customers have already generated over 6 million videos, showcasing the incredible demand for professional-grade, scalable AI video creation.  Today,

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Understanding Calendar mode for Dynamic Workload Scheduler: Reserve ML GPUs and TPUs

Organizations need ML compute resources that can accommodate bursty peaks and periodic troughs. That means the consumption models for AI infrastructure need to evolve to be more cost-efficient, provide term flexibility, and support rapid development on the latest GPU and TPU accelerators. Calendar mode is currently available in preview as the newest feature of Dynamic

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BigQuery meets ADK & MCP: Accelerate agent development with BigQuery’s new first-party toolset

As the excitement around AI agents reaches enterprise customers, a critical question emerges: How can we empower these agents to securely and intelligently interact with enterprise data systems like Google Cloud BigQuery? Currently, the developers building agentic applications have been forced to build and maintain their own custom tools, a process that is slow, risky,

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