Google launches Gemini-powered browser automation for Chrome Enterprise users
Google announced auto browse capabilities for Chrome Enterprise at Google Cloud Next, enabling Gemini to automate web-based tasks like data entry, vendor comparisons, and meeting scheduling. The feature requires manual user confirmation before executing actions and will initially be available to U.S. Workspace users.
Google launches Gemini-powered browser automation for Chrome Enterprise users
Google announced auto browse capabilities for Chrome Enterprise at Google Cloud Next on Wednesday, bringing Gemini AI directly into the workplace browser. The feature allows users to automate web-based tasks while maintaining human oversight through mandatory confirmation steps.
How auto browse works
The feature uses Gemini to understand context across open browser tabs and execute tasks including:
- Inputting data from Google Docs into CRM systems
- Comparing vendor pricing across multiple tabs
- Summarizing candidate portfolios before interviews
- Extracting competitor product data
- Booking travel and scheduling meetings
All workflows require what Google calls a "human in the loop" — users must manually review and confirm AI actions before execution. The feature will initially be available to Workspace users in the U.S. and can be enabled via IT policy.
Google states that organizational prompts will not be used to train its AI models. Users can save common workflows as "Skills" accessible by typing "/" or clicking a plus sign.
Security and IT controls
Google is expanding Chrome Enterprise Premium to detect "anomalous agent activity" from unauthorized AI tools and compromised browser extensions. The company positions this as "Shadow IT risk detection," giving IT teams visibility into both sanctioned and unsanctioned generative AI and SaaS usage across organizations.
IT teams will receive Gemini-generated summaries of Chrome Enterprise release notes, surfacing critical changes, new policies, and deprecations with configuration recommendations.
Additional security features include:
- Expanded partnership with Okta to reduce session hijacking
- Upgraded extension security controls
- Microsoft Information Protection (MIP) integration for consistent policy enforcement
What this means
Google is attempting to establish Gemini as the default AI agent in enterprise browsers before competitors gain footholds. The "Shadow IT risk detection" feature simultaneously addresses legitimate security concerns while giving IT departments tools to block rival AI services that employees might adopt independently.
The mandatory human confirmation requirement acknowledges ongoing concerns about AI reliability in production environments. While Google frames auto browse as freeing workers for "strategic work," studies have shown AI tools often intensify rather than reduce workloads — a pattern that may persist as managers expect accelerated task completion once AI becomes standard infrastructure.
Related Articles
Google launches Gemini Enterprise Agent Platform with 200+ models, MCP support for multi-agent workflows
Google announced its Gemini Enterprise Agent Platform at Cloud Next, consolidating Vertex AI services with new agent management capabilities. The platform offers access to over 200 models including Gemini 3.1 Pro, Gemma, and Anthropic's Opus 4.7, with MCP support and tools for building, securing, and deploying agent fleets across enterprise workflows.
Google Workspace adds AI note-taking for in-person meetings, Drive 'Projects' organization
Google is expanding its Gemini-powered 'Take Notes for me' feature beyond virtual meetings to in-person sessions via the Meet mobile app. The company also announced Drive 'Projects' for centralized file organization and Canvas for interactive Sheets visualizations at Cloud Next 2026.
Google rebrands Vertex AI as Gemini Enterprise Agent Platform with governance tools for managing agent fleets
Google has rebranded its Vertex AI developer platform as the Gemini Enterprise Agent Platform, introducing tools for building, deploying, governing, and monitoring large-scale AI agent deployments. The platform includes Agent Studio for low-code agent creation, Agent Gateway for security enforcement, and cryptographic identity management for each agent.
Google launches Workspace Intelligence semantic layer and TPU 8t/8i chips with 2.8x training performance
Google announced Workspace Intelligence, a semantic understanding layer that connects data across Gmail, Docs, and other Workspace apps to power Gemini features. The company also released TPU 8t chips for training (2.8x better price/performance) and TPU 8i chips for inference (80% better performance-per-dollar).
Comments
Loading...