Moneycontrol
HomeTechnologyGoogle explains how Chrome will keep its upcoming agentic features secure

Google explains how Chrome will keep its upcoming agentic features secure

Google has detailed the security architecture behind Chrome’s upcoming agentic features, using critic models, origin controls, user permissions, and injection defences to keep automated actions safe.

December 09, 2025 / 17:13 IST
Story continues below Advertisement
Google Chrome

As more browsers experiment with agentic tools capable of booking tickets, comparing products, or completing tasks automatically, the security risks grow alongside the convenience. Google has now outlined how Chrome will manage these risks, detailing a multilayered system designed to keep automated actions aligned with user intent and protected from manipulation. The company first previewed Chrome’s agentic capabilities in September, with a broader rollout expected in the coming months.

At the core of Google’s approach is an internal oversight structure built around multiple models. The company uses a User Alignment Critic powered by Gemini to review the actions proposed by Chrome’s planner model. This critic only sees metadata, not full webpage content, and evaluates whether the planned steps genuinely support the user’s goal. If anything appears off, the planner is prompted to revise its strategy before the browser takes action. Google describes this as a guardrail that helps stop agents from drifting into behaviour that doesn’t match user intent.

Story continues below Advertisement

Chrome is also enforcing strict limits on what the agent can read and where it can act through a system called Agent Origin Sets. Read-only origins define which parts of a site the model can consume — for example, product listings on a shopping page — while banner ads or irrelevant elements stay off limits. Read-write origins are even more restricted, determining where the agent is allowed to interact by clicking or typing. By preventing cross-origin mixing, the browser reduces the risk of data leakage and ensures the model only receives information from approved sources. Chrome can block unsupported content outright, ensuring it never reaches the model.

Navigation is governed by yet another observer model that evaluates URLs before the agent loads them. This aims to stop the model from generating or wandering into harmful sites. When tasks involve sensitive information, control is handed back to the user. If the agent attempts to visit a banking portal or a medical records site, Chrome will ask for explicit permission. The same applies to using stored passwords. Google says the agent itself never sees password data, and that any action involving purchases or sending messages requires user confirmation.