Detecção de Escravidão Moderna Em Cadeias de Suprimentos Via Conexões Societárias Ocultas Com Uso de Osint E Graph Databases

The opacity of global supply chains allows modern slavery to thrive within the deep layers of production networks. This paper proposes a graph-based modeling approach (Neo4j) to map hidden corporate links between exporting companies and offenders listed on the Brazilian "Dirty List" of slave labor. The methodology performs semantic integration of public governmental databases involving companies, focusing on partner relationships as the primary linking key. The analysis revealed 197 companies on the Dirty List and 180,263 exporters; among these, 20 exhibit direct or indirect corporate ties with offenders. Notably, 15.3% of these companies operate with derisory social capital (below R$ 10,000), indicating the potential use of shell companies for asset shielding. Additionally, repeat offenders were identified across distinct companies on the Dirty List. In this context, this work proposes the Operational Contagion Index (IC) for risk quantification. The results of the index application validate the effectiveness of corporate graph analysis in revealing centralized control structures and labor risks within export chains.