Google Introduces Unique AI Agent Identities in New Gemini Enterprise

https://www.infosecurity-magazine.com/news/google-ai-agent-identities-gemini/

Publish Date: 2026-04-23 08:00:00

Source Domain: www.infosecurity-magazine.com

Google is betting big on agentic AI and wants professionals to track their AI agents on its new hub Gemini Enterprise Agent Platform.

Introduced a few months after the launch of Gemini Enterprise, the Agent Platform is Google’s new hub to manage agentic AI workflows for both Google-made and external AI agents.

The platform aims to bring together with a series of existing and new capabilities. Among them, the Agent Platform enables users to assign every agent a unique cryptographic ID that will be referred to for every action an agent takes.

These agent IDs are designed to be mapped back to “defined authorization policies that are traceable and auditable,” said Thomas Kurian, Google Cloud’s CEO, speaking at the Google Cloud Next 26 conference, held in Las Vegas from April 22 to April 24.

“We’re bringing zero trust verification to every agent and at every orchestration step,” he added.

Tackling A New Class of Identity Risk

AI agents are poised to disrupt identity management for security professionals.

While traditional non-human identities (NHIs), such as API keys or service accounts, are deterministic, AI agents are autonomous and goal oriented. They are capable of understanding a high-level goal, breaking it down into steps and independently executing a series of actions across various applications to achieve that goal.

This introduces new types of dynamic digital entities which act on behalf of humans and make independent operational decisions.

Agent identities will be listed on Google Cloud’s Gemini Enterprise Agent Platform in Agent Registry, a central library that indexes every internal agent, tool and skill.

Finally, the Agent Platform will also feature Agent Gateway, a single dashboard to manage a fleet of AI agents. This includes enforcing policies for all agent-to-agent and agent-to-tool connections and interactions, supporting several agentic AI protocols like model context protocol (MCP) and Agent2Agent (A2A).

“It provides…

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