Cloud Next: Develop and Defend AI Agents with Google Cloud

2026-04-24 · Source: AI Magazine · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure, Cybersecurity & Data Privacy · Depth: Intermediate, short

Summary

At Cloud Next 2026, Google Cloud introduced its eighth-generation Tensor Processing Units (TPUs) and a comprehensive suite of tools designed for the end-to-end development and defense of AI agents. The company reported processing over 16 billion tokens per minute through its first-party models, a significant increase from 10 billion just one quarter prior, indicating rapid scaling of its AI infrastructure. Key announcements included the Gemini Enterprise Agent Platform, Agentic Data Cloud, and Agentic Defense, aimed at simplifying the management and security of large-scale AI agent deployments. Google also unveiled new agentic cybersecurity tools, such as a Threat Hunting agent and a Detection Engineering agent, to proactively identify and mitigate novel attack patterns. Internally, Google uses AI to generate 75% of all new code, up from 50% last fall, and has seen marketing teams reduce creative asset turnaround times by 70%.

Key takeaway

For AI Architects and CTOs evaluating enterprise AI strategies, Google Cloud's new Gemini Enterprise Agent Platform and eighth-gen TPUs offer a robust ecosystem for deploying and securing AI agents at scale. Your teams should investigate these tools to streamline agent development, enhance cybersecurity posture with agentic defense, and potentially accelerate internal development workflows, especially given Google's reported 75% AI-generated code internally.

Key insights

Google Cloud is rapidly scaling its AI infrastructure and tools to support the development and defense of enterprise AI agents.

Principles

• Agentic AI enhances cybersecurity defenses.
• Centralized platforms simplify agent governance and scaling.
• AI can significantly boost internal code generation efficiency.

Method

Google Cloud's approach involves a full-stack platform (Gemini Enterprise Agent Platform) for building, scaling, governing, and optimizing agents, complemented by specialized agentic defense tools and next-gen TPUs for accelerated processing.

In practice

• Deploy agentic AI for proactive threat hunting.
• Utilize platforms for large-scale agent management.
• Explore AI for internal code generation and marketing asset creation.

Topics

• Google Cloud Next 2026
• AI Agents
• Agentic Enterprise
• Gemini Enterprise Agent Platform
• Agentic Defense

Best for: CTO, AI Architect, VP of Engineering/Data, AI Engineer, MLOps Engineer, AI Security Engineer

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• How Google just revamped Gemini Enterprise for the agentic era - here's what's new — Google's new Agent Platform streamlines secure, end-to-end agent development and deployment for enterprise AI workflows.
• Google Cloud Next 2026: The End Of The AI Pilot Era — Google Cloud is consolidating its AI offerings into a unified agent platform to manage enterprise-scale AI deployments.
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Editorial summary, takeaway, and curation by AIssential. Original article published by AI Magazine.