MOUNTAIN VIEW, Calif. – Google Cloud has officially entered the "agentic era" with the launch of its new Gemini Enterprise Agent Platform, a unified suite of tools aimed at enabling businesses to build, scale, govern, and optimize artificial intelligence agents. The announcement, made at the Google Cloud Next '26 conference, marks a significant step in Google's strategy to embed AI as an active partner capable of performing tasks autonomously and securely.
The Gemini Enterprise Agent Platform is built upon Google's existing AI infrastructure, integrating advanced models like Gemini 3.1 Pro and Gemini 3.1 Flash Image, alongside models from partners such as Anthropic's Claude Opus 4.7. This platform offers developers and businesses a complete end-to-end workspace designed to manage the entire lifecycle of AI agents, from initial development to deployment and ongoing optimization.
Empowering Developers with Advanced Agent Building Tools
Key components of the Gemini Enterprise Agent Platform include Agent Studio, which allows users to build AI helpers without extensive coding knowledge, and the Agent Development Kit (ADK). The ADK enables the creation of more sophisticated agents by organizing them into a network of sub-agents, facilitating complex problem-solving through a clear, reliable logic framework. For high-code development, Agent Designer provides advanced customization options, allowing engineering teams to build and publish complex agents directly into the Gemini Enterprise app.
The platform also emphasizes Agent Runtime, offering rapid deployment of new agents with sub-second cold starts, and Agent Sandbox, a secure environment for executing model-generated code. These tools are designed to accelerate the development process and ensure the safe and efficient operation of AI agents within enterprise environments.
Unifying Data and Security for Agentic AI
A significant aspect of Google Cloud's announcement is the Agentic Data Cloud, a new AI-native architecture designed to organize data for real-time AI action. This includes the Knowledge Catalog, which autonomously tags and connects enterprise data to provide context for AI agents. The platform also features Cross-Cloud Lakehouse, allowing data to be utilized across different cloud environments without the need for complete migration.
Security is a paramount concern, and Google Cloud has integrated its Wiz security scanning directly into the platform, enabling the detection of vulnerabilities, secrets, and misconfigurations in AI-generated code. The Agentic Defense component combines Google's Threat Intelligence and Security Operations with Wiz's Cloud and AI Security Platform to provide autonomous threat detection, prevention, and response across multicloud, hybrid, and AI environments.
Driving Enterprise Adoption and Innovation
Google Cloud's commitment to driving enterprise adoption is evident in the expansion of its AI infrastructure, including new TPUs (Tensor Processing Units) and the Virgo Network for high-speed data transfer. The company is also adopting new NVIDIA hardware, such as the NVIDIA Vera Rubin NVL72 systems, to support the demanding compute needs of AI workloads.
During the Google Cloud Next '26 conference, Google showcased how large companies are already leveraging these AI capabilities for various applications, from customer service to complex research. The focus on agentic AI signifies a shift towards AI acting as an active partner, capable of performing tasks with minimal human intervention, thereby enhancing productivity and driving business outcomes. The platform's emphasis on governance, security, and ease of use aims to make AI adoption more accessible and reliable for enterprises across industries.