Abstract：The widespread use of brain-computer interfaces(BCIs)has led to a diffuse expansion of data security risks,encompassing the entire process of data collection,transmission,decoding and utilization.These risks manifest themselves in four key categories:compliance risk in data collection,leakage risk in data disclosure,misuse risk in data aggregation and manipulation risk in data writing.The EU,the US and China are all in the initial stages of addressing the security risks of BCI data,primarily relying on existing regulatory frameworks to encompass risk governance without yet establishing a specialized and systematic governance model.Building a scientific governance system for BCI data security risks requires examining the unique characteristics of BCI data and its security risks,prioritizing the establishment of macro-level governance concepts and then guiding the optimization of micro-level governance approaches.In terms of governance concepts,the paper suggests the shift towards governance that integrates law and technology,scenario-based governance and full life-cycle governance.In terms of governance approaches,the paper suggests strengthening the technical security of BCI systems,improving legal regulations for BCI data and optimizing scenario-oriented rule design.Reshaping governance concepts and reconstructing governance approaches will enhance governance effectiveness and contribute to the development of a systematic and scientific BCI data governance framework.
王静. 脑机接口应用的数据安全风险及其治理[J]. 中国科技论坛, 2026(4): 109-117.
Wang Jing. Data Security Risks and Its Governance in Brain-Computer Interface Applications. , 2026(4): 109-117.
2026, 
