AI coding agents can inadvertently leak secrets; new open-source tool aims to block it.
AI-powered coding assistants like Claude Code and Cursor routinely read a project's .env file for context. A security risk arises when these agents, following seemingly innocent instructions, can write those secrets to other files and commit them to public repositories. A developer has created StingLabs, a free and open-source tool designed to prevent such leaks. It tracks data from its origin and blocks marked secrets from being transmitted via commands like git push or curl. The tool runs locally using deterministic rules and is available for macOS and Windows.
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