[Objective] Scientifically and rationally assessing the spatiotemporal evolution and driving factors of cultivated land ecological security in the Beijing-Tianjin-Hebei region can raise the awareness of relevant authorities regarding the protection of cultivated land ecology, and provide solid theoretical support and scientific basis for accelerating the construction of a pattern of high-quality agricultural development. [Methods] Based on the Pressure-State-Response (P-S-R) framework, this study firstly establishes the evaluation index system of cultivated land ecological security level. By integrating the entropy weight method, Kernel density estimation and Dagum Gini coefficient analyze the developmental trajectory, evolution characteristics, and sources of regional disparities in cultivated land ecological security across the Beijing-Tianjin-Hebei region from 2011 to 2022. Additionally, the spatial-temporal heterogeneity of influencing factors cultivated land ecological security is explored using the Geographically and Temporally Weighted Regression (GTWR) model. [Results] The cultivated land ecological security in the Beijing-Tianjin-Hebei region has steadily improved, and the regional growth rates characterized by "central leadership followed by northern and southern regions." Among the three P-S-R dimensions, Among the three P-S-R dimensions, the pressure dimension shows a significant upward trend, while the state and response dimensions display fluctuating downward trends. The absolute differences in cultivated land ecological security levels among cities have gradually narrowed, with pronounced differentiation in the northern region and more balanced development in central and southern regions. The overall regional differences in cultivated land ecological security slightly narrowed, and the differences in the region are in the order of highest to lowest: south > central > north, primarily driven by net inter-regional differences. The influencing factors of cultivated land ecological security demonstrate significant spatial heterogeneity. Among them, crop cultivation structure, agricultural financial support, and funding for agricultural research activities demonstrate positive driving effects; natural factors (e.g. sunshine hours and precipitation) exert bidirectional effects; and per capita GDP primarily exerts inhibitory effects.