This article examines the growing imperative for financial institutions to implement real-time bankruptcy detection systems to meet evolving regulatory requirements and mitigate compliance risks. The fragmented nature of court data systems, coupled with the operational challenges of entity matching at scale, presents unique technical obstacles that traditional batch-processing approaches fail to address adequately. The article proposes a cloud-native architectural framework that enables continuous monitoring of bankruptcy filings across jurisdictions, precise entity matching against client portfolios, and immediate notification through standardized APIs. The article analyzes implementation considerations, including integration pathways with existing financial systems, scalability requirements, and operational performance benchmarks. Case studies demonstrate how leading financial institutions have deployed these solutions to reduce regulatory exposure while improving operational efficiency. This research contributes to the emerging field of regulatory technology by establishing design patterns for real-time legal-financial data integration that can be generalized across various compliance domains.
Keywords: Cloud-Native Architecture, Financial compliance, bankruptcy detection, real-time monitoring, regulatory technology
