Early detection of plant pests and pathogens at points of entry is essential for preventing their establishment and spread. Environmental biosurveillance—widely used in human and animal health—may provide a new route for detecting plant‑relevant taxa in border environments. This study piloted the feasibility of applying DNA‑based environmental surveillance inside UK Border Control Posts (BCPs). A total of 194 samples were collected across two BCPs (Port of Liverpool and Manchester Airport), including air samples, dust wipes, and sticky traps. DNA was extracted and analysed using metabarcoding (at 16S, ITS and COI loci), with a subset of samples (n=35) undergoing shotgun metagenomic sequencing. The resulting sequences underwent taxonomic classification, calculation of diversity metrics, and assessment of temporal signal using Sorensen dissimilarity index analysis. All three sample types contained detectable DNA from diverse bacterial, fungal and invertebrate taxa. Community composition differed significantly between air, dust and sticky traps across all loci. Temporal analyses indicated that air and sticky trap samples could provide time‑resolved information on environmental DNA at both sampling sites, but this varied across metabarcoding loci. Multiple detections were consistent with genera containing organisms of possible plant health relevance, although interpretation was limited by reference database quality. This proof‑of‑concept study demonstrates that environmental DNA‑based surveillance at BCPs is feasible and can capture taxonomically informative signals which may be relevant to plant health risk assessment. Further optimisation—particularly around sampling regimes, reference databases and interpretation frameworks—is needed before operational deployment.