Mitigating Regulatory Risk Through Real-Time Bankruptcy Monitoring: A Cloud-Native Approach

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

Authors

Publication Details

Journal
European Journal of Computer Science and Information Technology
Published
2025-04-15
DOI
https://doi.org/10.37745/ejcsit.2013/vol13n175772
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mitigating Regulatory Risk Through Real-Time Bankruptcy Monitoring: A Cloud-Native Approach

Diliprao Boinapally
European Journal of Computer Science and Information Technology
Blockchain Technology Applications and Security
article

Mitigating Regulatory Risk Through Real-Time Bankruptcy Monitoring: A Cloud-Native Approach

Diliprao Boinapally
article en

Abstract

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

European Journal of Computer Science and Information TechnologyVol. 13(17)
Openalex Percentile: Top 86%
Blockchain Technology Applications and Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.