Biometric technologies, as well as predictive algorithms and risk assessment models, are increasingly used as regulatory tools in the context of social assistance, often in the name of cost savings and fraud prevention. In 2019, the UN rapporteur on extreme poverty warned that doing so has enabled Big Tech companies to surveil the poor without appropriate accountability or regulation. Beyond the controversial Robodebt scandal in Australia, we know little about how these technologies operate in practice or how they affect recipients in everyday life.