AI agents are quickly moving from novelty to everyday business tool. Developers use them to write code, analysts use them to research, and operations teams use them to automate repetitive work. Unlike a simple chatbot, though, an AI agent can act: it can read files, run commands, and send requests to websites on your behalf.
That added capability brings a new kind of risk. A recent and widely discussed bug report about Anthropic's Claude Code shows how an AI agent can share personal information with third parties without anyone asking it to. Below, we explain what was reported, why it happens, and the practical steps businesses can take to keep AI tools from oversharing.
What Was Reported
On November 5, 2026, a user opened a public issue on the official Claude Code GitHub repository (issue #107757) titled "Privacy violation in User-Agent header." The reporter, using Claude Code version 2.1.318 on macOS, said the tool placed their email address in the User-Agent header of web requests it made while performing web searches, without their permission. The reporter attributed a flood of scam emails to the exposure and asked that the behavior be removed entirely rather than offered as a setting.
The issue drew significant attention from developers and the tech press. It was not the first report of its kind. Earlier public issues describe similar behavior, including:
- July 2026 (issue #81138): A report that the signed-in account email is included in the instructions given to the AI model in every session.
- October 13, 2026 (issue #101659): A report that a research sub-agent sent the user's email to a wiki site in a web request.
- October 15, 2026 (issue #102577): A report that the user's email was sent to Wikipedia in four search requests.
It is important to keep these reports in perspective. The behavior does not appear to happen in every session, and the connection between the header and the reporter's scam emails has not been independently proven. Spam can come from many sources. Still, the pattern is consistent enough that it is worth understanding.
What Is a User-Agent Header?
Every time a browser or program requests a web page, it attaches small pieces of information called headers. One of them, the User-Agent, identifies who is making the request, such as "Chrome on Windows" or "MyScript version 1.0."
Some websites, including Wikipedia and the SEC's EDGAR filing system, ask automated tools to include contact information in the User-Agent so the site operator can reach the owner if a script misbehaves. That is a reasonable convention for people who write scrapers. The problem arises when an AI agent tries to follow that convention and the only contact information it has is yours.
Web servers commonly log User-Agent values. Once an email address lands in those logs, you no longer control who sees it or how long it is kept.
Why AI Agents Leak Information
According to the reports and a reply from an Anthropic contributor on the issue, the root cause is simple: the AI model is given the user's account email as part of its working context. When it is asked to research a site that requests contact details for automated traffic, it may helpfully fill in the email it already knows.
This highlights a broader lesson that applies to any AI agent, not just Claude Code:
- Anything an agent can see, it can potentially send. That includes account details, names and emails in code history, file contents, and project or client names.
- Prompt instructions are not a guarantee. Reports indicate the tool's context told the model not to send the email to unrelated services, and it still happened in some cases.
- Agents create their own requests. Several commenters found that most leaks came from scripts or commands the agent wrote itself, which can bypass simpler safeguards.
How Anthropic Has Responded So Far
In the issue thread, an Anthropic contributor said a built-in privacy add-on called cc-plugin-privacy was introduced in Claude Code v2.1.317 and later to block this behavior. It is enabled by default and can be turned off through the /plugins menu.
Community members have raised concerns that this fix is incomplete. Some reported that the check only catches certain command patterns, that it does not cover other headers or scripts the agent writes and then runs, and that the underlying issue remains because the email is still available to the model. As of this writing, the situation is still evolving, so check the official issue and release notes for the latest status.
Practical Steps to Reduce the Risk
Whether your team uses Claude Code or another AI agent, these steps help limit unintended data sharing.
1. Keep AI Tools Updated and Check Privacy Settings
Run the latest version of any AI agent your team uses. For Claude Code, confirm you are on v2.1.317 or later and that the built-in privacy add-on has not been disabled.
2. Limit What the Agent Can See
Give AI tools the minimum access they need. Avoid running agents in folders that contain sensitive client data, credentials, or personal files unrelated to the task.
3. Use a No-Reply or Role-Based Address for Code History
Developers often have their personal email embedded in code history settings. Using a no-reply or role-based address reduces how much personal information an agent can pick up and pass along.
4. Review Agent Activity
Many AI agents keep logs or transcripts of their sessions. Periodically review them for outbound requests that include email addresses, names, or other sensitive details.
5. Control Outbound Network Traffic
A properly configured business firewall and network monitoring can help you see and restrict where AI tools are sending data. This is especially important for agents that run unattended or on shared systems.
6. Set an AI Use Policy
Define which AI tools are approved, what data they may access, and who is responsible for reviewing their settings. A clear policy turns AI adoption from a patchwork of individual choices into a managed business process.
The Bigger Picture for Small and Medium-Sized Businesses
This incident is less about one product and more about a new category of risk. AI agents are powerful because they can take action, and that same ability means they can share information in ways a traditional application never would. Exposed email addresses are a gift to scammers, and they make phishing emails more convincing and more targeted.
Businesses do not need to avoid AI tools. They need to treat them like any other system with access to company data: approved, configured, monitored, and reviewed. For more on balancing AI productivity with security, see our article on how AI is making your business faster and easier to hack.
Get Help Adopting AI Safely
If your team is adopting AI tools and you want to make sure they are configured with security in mind, Grand Rapids Tech can help. Learn more about our AI services and cybersecurity services, or contact our team to talk through your current setup.