Piloting Claude in Chrome
We're piloting Claude in Chrome to test browser-based AI capabilities while addressing prompt injection risks and building the safety measures needed before wider release.
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We're piloting Claude in Chrome to test browser-based AI capabilities while addressing prompt injection risks and building the safety measures needed before wider release.
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Update: Now available to Pro, Team, and Enterprise plans (Dec 18, 2025)
After months of real-world testing, we're ready to expand to all paid plans. We've also shipped our most requested feature: an integration for Claude Code. Build in your terminal, verify in your browser, and debug with Claude reading console errors and DOM state directly.Β
For Teams and Enterprise: Admins can enable or disable the extension org-wide and configure site allowlists and blocklists.
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Update: Now available to all Max plan subscribers (Nov 24, 2025)
After three months of testing, Claude in Chrome is now available in beta to all Max plan subscribers. Since the research preview, we've shipped major updates including scheduled tasks, multi-tab workflows, and smarter navigation on sites you use every day. Read our release notes for the full list of updates, and our safety blog for details on prompt injection defenses and learnings from the pilot.
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We've spent recent months connecting Claude to your calendar, documents, and many other pieces of software. The next logical step is letting Claude work directly in your browser.
We view browser-using AI as inevitable: so much work happens in browsers that giving Claude the ability to see what you're looking at, click buttons, and fill forms will make it substantially more useful.
But browser-using AI brings safety and security challenges that need stronger safeguards. Getting real-world feedback from trusted partners on uses, shortcomings, and safety issues lets us build robust classifiers and teach future models to avoid undesirable behaviors. This ensures that as capabilities advance, browser safety keeps pace.
Browser-using agents powered by frontier models are already emerging, making this work especially urgent. By solving safety challenges, we can better protect Claude users and share what we learn with anyone building a browser-using agent on our API.
Weβre starting with controlled testing: a Claude extension for Chrome where trusted users can instruct Claude to take actions on their behalf within the browser. We're piloting with 1,000 Max plan usersβjoin the waitlistβto learn as much as we can. We'll gradually expand access as we develop stronger safety measures and build confidence through this limited preview.
Within Anthropic, we've seen appreciable improvements using early versions of Claude in Chrome to manage calendars, schedule meetings, draft email responses, handle routine expense reports, and test new website features.
However, some vulnerabilities remain to be fixed before we can make Claude in Chrome generally available. Just as people encounter phishing attempts in their inboxes, browser-using AIs face prompt injection attacksβwhere malicious actors hide instructions in websites, emails, or documents to trick AIs into harmful actions without users' knowledge (like hidden text saying "disregard previous instructions and do [malicious action] instead").
Prompt injection attacks can cause AIs to delete files, steal data, or make financial transactions. This isn't speculation: weβve run βred-teamingβ experiments to test Claude in Chrome and, without mitigations, weβve found some concerning results.
We conducted extensive adversarial prompt injection testing, evaluating 123 test cases representing 29 different attack scenarios. Browser use without our safety mitigations showed a 23.6% attack success rate when deliberately targeted by malicious actors.
One example of a successful attackβbefore our new defenses were appliedβwas a malicious email claiming that, for security reasons, emails needed to be deleted. When processing the inbox, Claude followed these instructions to delete the userβs emails without confirmation.



As weβll explain in the next section, we've already implemented several defenses that significantly reduce the attack success rateβthough thereβs still work to do in uncovering novel attack vectors.
The first line of defense against prompt injection attacks is permissions. Users maintain control over what Claude in Chrome can access and do:
Weβve also built additional safeguards in line with Anthropicβs trustworthy agents principles. First, weβve improved our system promptsβthe general instructions Claude receives before specific instructions from usersβto direct Claude on how to handle sensitive data and respond to requests to take sensitive actions.
Additionally, weβve blocked Claude from using websites from certain high-risk categories such as financial services, adult content, and pirated content. And weβve begun to build and test advanced classifiers to detect suspicious instruction patterns and unusual data access requestsβeven when they arise in seemingly legitimate contexts.
When we added safety mitigations to autonomous mode, we reduced the attack success rate of 23.6% to 11.2%, which represents a meaningful improvement over our existing Computer Use capability (where Claude could see the userβs screen but without the browser interface that weβre introducing today).

We also conducted special red-teaming and mitigations focused on new attacks specific to the browser, such as hidden malicious form fields in a webpageβs Document Object Model (DOM) invisible to humans, and other hard-to-catch injections such as through the URL text and tab title that only an agent might see. On a βchallengeβ set of four browser-specific attack types, our new mitigations were able to reduce attack success rate from 35.7% to 0%.
Before we make Claude in Chrome more widely available, we want to expand the universe of attacks weβre thinking about and learn how to get these percentages much closer to zero, by understanding more about the current threats as well as those that might appear in the future.
Internal testing canβt replicate the full complexity of how people browse in the real world: the specific requests they make, the websites they visit, and how malicious content appears in practice. New forms of prompt injection attacks are also constantly being developed by malicious actors. This research preview allows us to partner with trusted users in authentic conditions, revealing which of our current protections work, and which need work.
We'll use insights from the pilot to refine our prompt injection classifiers and our underlying models. By uncovering real-world examples of unsafe behavior and new attack patterns that arenβt present in controlled tests, weβll teach our models to recognize the attacks and account for the related behaviors, and ensure that safety classifiers will pick up anything that the model itself misses. Weβll also develop more sophisticated permission controls based on what we learn about how users want to work with Claude in their browsers.
For the pilot, weβre looking for trusted testers who are comfortable with Claude taking actions in Chrome on their behalf, and who donβt have setups that are safety-critical or otherwise sensitive.
If youβd like to take part, you can join the Claude in Chrome research preview waitlist at claude.ai/chrome. Once you have access, you can install the extension from the Chrome Web Store and authenticate with your Claude credentials.
We recommend starting with trusted sitesβalways be mindful of the data thatβs visible to Claudeβand avoiding use of Claude in Chrome for sites that involve financial, legal, medical, or other types of sensitive information. You can find a detailed safety guide in our Help Center.
We hope that youβll share your feedback to help us continue to improve both the capabilities and safeguards for Claude in Chromeβand help us take an important step towards a fundamentally new way to integrate AI into our lives.
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