AI-Driven Sanction Evasion Detection: Real-Time Monitoring of Illicit Financial Flows

Q: What does this research mean for the field?

Artificial intelligence-driven models enable the real-time monitoring and detection of illicit financial flows related to sanction evasion. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

Олег Ивченко; Iryna Ivchenko

doi:10.5281/zenodo.22050679

August 21, 2026Open Access

AI-Driven Sanction Evasion Detection: Real-Time Monitoring of Illicit Financial Flows

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Key Points

To examine the implementation of artificial intelligence systems for the real-time detection and continuous monitoring of illicit financial flows involved in sanction evasion.
Assessed computational frameworks and artificial intelligence models engineered for real-time transaction monitoring.
Evaluated automated surveillance architectures designed to flag evasive cross-border financial behaviors.
Identified real-time surveillance pathways that enhance the automated tracking of covert illicit financial movements.
Demonstrated computational mechanisms for uncovering complex networks used to circumvent international sanctions.

Implication

Methodological analysis demonstrates AI-driven real-time tracking of illicit financial flows, indicating enhanced detection of complex sanction evasion networks.

Abstract

Research article: AI-Driven Sanction Evasion Detection: Real-Time Monitoring of Illicit Financial Flows

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Cite This Study

Ивченко et al. (2026) studied this question.

synapsesocial.com/papers/6a8aae5c7677a34114447603 https://doi.org/10.5281/zenodo.22050679

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AI-Driven Sanction Evasion Detection: Real-Time Monitoring of Illicit Financial Flows

Key Points

Implication

Abstract

Discussion

Cite This Study

AI-Driven Sanction Evasion Detection: Real-Time Monitoring of Illicit Financial Flows

Key Points

Implication

Abstract

Discussion

Cite This Study

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