$ man how-to/ai-security-myths

The most common objection to AI-assisted development is security. "What if the AI leaks my code?" "What if it sends my API keys to the cloud?" "What if it commits something sensitive?" These are valid questions. But most of the fear comes from misunderstanding how these tools work, not from actual vulnerabilities. Let me separate the real risks from the myths so you can make informed decisions instead of fear-based ones.

PATTERN

When you use Cursor or Claude Code, your code does leave your machine — it goes to Anthropic or OpenAI servers for processing. This is how cloud-based AI works. The model needs to see the code to help with it. But this is not "leaking." It is the same model as using Google Docs (your documents go to Google servers) or Slack (your messages go to Slack servers). The relevant question is not "does my code leave my machine?" It is "what does the provider do with it?" Anthropic and OpenAI have clear data policies: they do not train on your code from paid API and IDE subscriptions. Read the terms of service for your specific plan. Enterprise plans typically include stronger data handling guarantees.

PATTERN

AI agents can run git commands. If you tell Claude to commit everything, it will commit everything — including .env files with your API keys. But this is not an AI problem. It is a .gitignore problem. The same risk exists if a human developer runs git add . without checking what is staged. The fix is the same for AI and humans: configure your .gitignore correctly, use pre-commit hooks that scan for secrets, and review what is being committed before pushing. The /deploy skill in my repo includes a pre-push scan that checks for sensitive content. That is an engineering solution, not a fear response.

ANTI-PATTERN

The real risks are boring and preventable: 1. Committing .env files to a public repo. Fix: .gitignore and pre-commit hooks. 2. Hardcoding API keys in source files. Fix: use environment variables. 3. Pushing client names or partner data to a public repo. Fix: keep sensitive folders gitignored. 4. Using a free-tier AI service that trains on your input. Fix: use paid plans with clear data policies. 5. Not rotating API keys that were accidentally exposed. Fix: rotate immediately if any key touches version control. None of these are unique to AI. They are standard security hygiene. AI agents do not introduce new attack vectors. They follow the same rules as any other tool in your development workflow.

PRO TIP

Security is not a reason to avoid AI tools. It is a set of engineering practices to implement alongside them. You do not avoid driving because cars can crash. You wear a seatbelt, follow traffic rules, and maintain your vehicle. Same approach here. Configure .gitignore before your first commit. Use environment variables for every secret. Keep sensitive data in gitignored folders. Review git diffs before pushing. Use pre-push scripts that scan for sensitive content. These are one-time setup tasks. Once they are in place, you work at full speed with AI tools without worrying about security. The 30 minutes of setup saves infinite anxiety.