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July 27, 2026Open Access

AI-Powered Economic Warfare: Sanctions Evasion Detection in Cross-Border Transactions

Олег Ивченко Iryna Ivchenko

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Key Points

This research aims to explore the application of AI in detecting sanctions evasion during cross-border transactions.
Developed AI algorithms for analyzing transaction data
Examined case studies of detected sanctions evasion
Utilized machine learning techniques for pattern recognition
AI algorithms successfully identified 85% of sanctions evasion cases with a false positive rate of 5%
Detection speed improved by 30% compared to traditional methods
Highlighting the scalability and effectiveness of AI in combating economic warfare

Implication

Research article examines AI techniques for detecting sanctions evasion in cross-border transactions, highlighting their potential impact.

Abstract

Research article: AI-Powered Economic Warfare: Sanctions Evasion Detection in Cross-Border Transactions

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Cite This Study

Ивченко et al. (2026) studied this question.

synapsesocial.com/papers/6a69a2e2c8da07d9defa6ed4 https://doi.org/10.5281/zenodo.21626136

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Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1AI-Driven Sanction Evasion Detection: Real-Time Monitoring of Illicit Financial FlowsOriginal Research · 2026
2Sanctions Intelligence Automation: AI-Driven Screening at Scale Under EU and US RegimesOriginal Research · 2026
3AI-Driven Global Sanctions Enhancement2024
4Sanctions circumvention via private-law instruments: Ukrainian courts and legislative reformOriginal Research · 2026
5Exploring the role of cryptocurrencies in sanctions evasion: a systematic reviewSystematic Review · 2026 · 2 citations

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