AI-SNIPS: A Platform for Network Intelligence-Based Pharmaceutical Security

This paper presents AI-SNIPS (AI Support for Network Intelligence-based Pharmaceutical Security), a production-ready platform that enables stakeholder decision-making, secure data sharing, and interdisciplinary research in the fight against Illicit, Substandard, Falsified Medical Products (ISFMP). takes as input cases: case consists of one or more URLs suspected ISFMP activity. Cases can be supplemented with ground-truth structured (labeled keywords) such seller PII notes. First, scrapes stores relevant images text from provided without any user intervention. Salient features predicting similarity are extracted aggregated using combination rule-based machine-learning techniques used to construct network, nodes representing cases (sellers) edges between two sellers. analysis community detection applied extract clusters ranked by profitability their potential harm society. Lastly, provides interpretability distilling common word/image similarities each cluster into signature vectors. We validate importance AI-SNIPS's distinguishing large pharmaceutical affiliate networks small operations an actual lead sheet.