Google Fortifies Chrome with New Defenses Against AI Prompt Injection Attacks
- John Jordan
- 3 days ago
- 3 min read
Updated: 1 day ago
Google is rolling out a suite of enhanced security features for its Chrome browser, specifically designed to combat the growing threat of indirect prompt injection attacks targeting agentic AI capabilities. These new layers aim to protect users from malicious web content that could trick AI agents into performing harmful actions, such as data exfiltration or unauthorized transactions.

Key Takeaways
User Alignment Critic: A secondary AI model independently verifies agent actions, isolated from potentially malicious web content.
Agent Origin Sets: Restricts agent access to data from origins relevant to the user's task, preventing cross-site data leaks.
Enhanced Transparency and Control: Users receive work logs and must approve sensitive actions.
Prompt Injection Classifier: Operates alongside Safe Browsing to block suspicious content.
Bug Bounty Program: Google offers up to $20,000 for demonstrations of successful security breaches.
Layered Defenses Against Indirect Prompt Injection
Indirect prompt injection attacks pose a significant risk to agentic AI systems, where malicious instructions are hidden within external data sources like websites, iframes, or user-generated content. Google's new security architecture in Chrome introduces several layers to mitigate these threats.
A core component is the User Alignment Critic, a separate AI model that scrutinizes the agent's planned actions after they are formulated. This critic is isolated from untrusted web content and focuses solely on whether an action aligns with the user's stated goals. If an action is deemed misaligned, the critic vetoes it, preventing potential harm. This system is designed to only access metadata about proposed actions, ensuring it cannot be compromised by malicious prompts directly from the web.
Complementing this is the enforcement of Agent Origin Sets. This feature extends Chrome's origin-isolation principles to agentic browsing. It architecturally limits the agent to interact only with data sources relevant to the current task or those explicitly shared by the user. This is achieved through a gating function that categorizes origins into read-only and read-writable sets, thereby bounding the threat of cross-origin data leaks. The gating function itself is not exposed to untrusted web content.
Transparency and User Control
Google is emphasizing user control and transparency in the agent's operations. The agent generates a work log detailing its actions, allowing users to observe its progress. For critical steps, such as navigating to sensitive sites (banking, healthcare), signing in via Google Password Manager, or completing purchases, the agent requires explicit user confirmation. This "Human-In-The-Loop" approach acts as a crucial safeguard against both AI errors and malicious manipulation.
Proactive Threat Detection and Community Engagement
In addition to structural defenses, Chrome now includes a prompt-injection classifier that runs in parallel with the planning model. This classifier checks each page for indirect prompt injections and works alongside Chrome's existing Safe Browsing and on-device scam detection to block suspicious content.
To further strengthen its defenses and encourage research, Google is offering rewards of up to $20,000 for researchers who can demonstrate breaches of these new security boundaries, specifically targeting indirect prompt injections that lead to unauthorized actions or data exfiltration without user approval.
Google states that by extending core principles like origin-isolation and layered defenses, and introducing a trusted-model architecture, they are building a secure foundation for agentic experiences in Chrome, remaining committed to continuous innovation and collaboration with the security community.
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Sources
Google Adds Layered Defenses to Chrome to Block Indirect Prompt Injection Threats, The Hacker News.
Google Adds Security Layers to Safeguard Agentic Browsing, PYMNTS.com.
Architecting Security for Agentic Capabilities in Chrome, Google Online Security Blog.
Google Adds Multi-Layered Defenses to Secure GenAI from Prompt Injection Attacks, The Hacker News.
Mitigating prompt injection attacks with a layered defense strategy, Google Online Security Blog.






