Chinese AI agent developers focus on user safety but neglect security

The proliferation of AI agents has empowered independent developers—individuals or small groups self-initiating projects—to build sophisticated autonomous systems. A new study (arXiv:2606.03190) conducted 28 interviews with Chinese developers who extensively use global LLM services. Researchers found these developers consistently think from their users' perspective, focusing on user-facing safety like harmful content while exhibiting low awareness of security vulnerabilities such as code injection or data leaks. As a result, they rely almost exclusively on ad-hoc, manually crafted safeguards and informal communication, with no formal security or privacy tools or processes in place.

This lack of structured security practices is driven by multiple inhibitors: a pervasive absence of formal S&P training, inaccessible security tools, and no actionable guidance from platforms. The study is the first exploration of independent AI agent developers' security and privacy understanding, revealing an urgent need for tailored security tooling and platform-level support. As independent developers produce an increasing number of AI agents, these blind spots could expose end users to significant risks, making this research critical for the broader AI ecosystem.