Suspicious Transactions
Activity Reporting

In the ever-evolving landscape of financial crime prevention, an efficient transaction monitoring system is paramount for detecting and mitigating potential risks associated with money laundering and other illicit activities. Incorporating cutting-edge technologies, such as Artificial Intelligence (AI) and Machine Learning (ML), can significantly enhance the effectiveness of these systems.
At Transvision, our Transaction Monitoring System represents the pinnacle of financial security through.

Some facts about Transvision’s STAR

STAR not only meets but exceeds industry expectations. Our solution combines the reliability of rule-based techniques with the innovation of AI and ML, all integrated into an intelligent case management system for a comprehensive approach to securing your financial transactions.
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Reduction in False Positives

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Boost efficiency in Analyst Time

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Detection of Unknown Cases

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Red flag coverage

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Self learning reliable results

Key Features of Our Transaction
Monitoring Platform

Anomaly Detection

Implementing Rules-Based and behavioural anomaly detection models can identify unusual patterns or behaviors within transactions

Scoring Mechanism

Implementing a risk-scoring mechanism allows the system to prioritize alerts based on the perceived level of risk.

Holistic Case Management

A comprehensive case management platform streamlines the investigation process with audit trail, reporting and SAR reporting.

Intelligent Monitoring

Implementing a self-learning system ensures that the system remains effective in identifying new and sophisticated laundering techniques.

Productivity Analysis

Conducting scenario analysis allows for preemptive adjustments to better address emerging risks.

Customizable Configurations

Tailor the system to your line of business, and regulatory requirements, ensuring that it aligns perfectly with your unique business environment.