As genome editing moves from laboratory to field, the question of how to reliably identify what has been altered—and by whom—becomes as consequential as the editing itself. A team of researchers from Sciensano, CIRAD, and Ghent University has answered part of that question with RiSpy, a bioinformatics framework that generates unique molecular fingerprints for genome-edited rice lines, even those absent from public databases. Published as open-access in Briefings in Bioinformatics, the tool arrives at a moment when regulators, breeders, and the public all need a common, trustworthy language for