Google Cloud Next ’26: Gemini Unifies Agents, New TPUs and Agentic Security for the Enterprise

At Google Cloud Next ’26 (April 22–24, 2026), Google formally framed the “agentic” enterprise: a unified stack for building, running and governing autonomous agents in production. The company folded Vertex AI’s model and agent tooling into a new Gemini Enterprise Agent Platform and paired it with specialized infrastructure and integrated security to support agent-scale workloads.

Gemini as the center of an agent platform

Google positioned Gemini Enterprise as the central platform for enterprise agents. The new Gemini Enterprise Agent Platform consolidates model and agent tooling and introduces a suite of developer and operations features: Agent Studio for building agents, an Agent Development Kit, an Agent Registry, runtime components, observability, and long-running memory features intended to support persistent agent state.

By absorbing Vertex AI capabilities into Gemini Enterprise, Google is offering an opinionated, end-to-end stack meant to let organizations design, deploy and govern collections of agents rather than just access models. The platform is explicitly built around agent lifecycle needs — development, registration, runtime execution and monitoring — with controls for governance and policy enforcement.

New TPUs for the agentic era

To underpin agent workloads, Google unveiled its eighth‑generation TPUs and a bifurcated chip strategy. The family includes TPU 8t, optimized for large‑model training, and TPU 8i, optimized for low‑latency inference and serving. Google says the new chips are designed for higher efficiency, greater scale and lower-latency agent serving, and will be used as part of its AI hypercomputer infrastructure.

The split design reflects the different performance and latency needs of training large foundation models versus serving many concurrent, low‑latency agent requests. Google positions the two chips together as a platform-level response to the resource demands of continuous, multi‑agent deployments.

Data primitives and cross‑cloud access

A key piece of Google’s strategy is making grounded, governed context available to agents without forcing heavy data movement. Google announced an “Agentic Data Cloud” and a set of cross‑cloud data primitives — Knowledge Catalog, Smart Storage, and a cross‑cloud lakehouse standardized on Apache Iceberg — to provide queryable, governed context for agents.

These primitives are intended to let agents access organization data across environments in a controlled way, turning siloed information into usable context for agent decision-making. The approach emphasizes bridging data governance with the real‑time context needs of agents, rather than encouraging ad hoc replication of data into model inputs.

Security and governance as first‑class concerns

Security and governance were highlighted as essential in the agentic stack. Google introduced several controls aimed specifically at agent operations: Agent Identity, which issues cryptographic IDs per agent; an Agent Gateway for centralized policy enforcement and inline protections; and Model Armor, an inline protection layer.

Google also announced an “Agentic Defense” integration with security vendor Wiz. The bundled capability includes Google threat intelligence, detection and remediation agents, and AI application protection designed to detect and autonomously respond to threats targeted at agents. The overall goal is to provide both preventative controls and automated responses to agent‑specific attack vectors.

What this means for enterprises

Next ’26 signals a shift in Google’s positioning from being primarily a model provider to offering a full, opinionated platform for agent-based applications. The combination of Gemini Enterprise tooling, cross‑cloud data primitives, specialized TPUs, and integrated security is designed to help enterprises build, operate and secure fleets of autonomous agents at scale.

For organizations planning agent deployments, the announcement bundles many of the pieces enterprises have struggled to assemble — development tools, runtime, data access and governance, infrastructure and security — into a single vendor vision. The real-world test will be how well those pieces interoperate in production, and how enterprises balance Google’s integrated stack with existing multi-cloud or on-premises investments.

Bottom line

Google Cloud Next ’26 laid out a coherent vision for the agentic enterprise: a unified Gemini Enterprise Agent Platform backed by purpose-built hardware, cross‑cloud data access and agent‑centric security. The move makes a clear bet that enterprises will want an integrated, governable path to deploy and manage large numbers of autonomous agents.