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AML Solutions

Advanced compliance for fighting financial crime

Adhere to global compliance standards while providing a robust mechanism to detect and prevent fraud.

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Saudi man analyzing data on dual monitors displaying Network’s AML dashboard, focused on compliance and transaction monitoring.

Leverage advanced analytics, machine learning, and integration capabilities to offer a comprehensive anti-money laundering (AML) framework.

A sophisticated approach to combatting financial crimes

Transaction monitoring for anti-fraud and anti-money laundering

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Real-time and batch monitoring of financial transactions for identifying suspicious activities.
Automated detection of unusual transaction patterns to prevent fraudulent activities.
Flexible rules-based engine tailored to issuer-specific requirements.

Regulatory compliance for AFT/CFT

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Adheres to AML/CFT (Anti-Money Laundering/Counter Financing of Terrorism) regulations and FATF (Financial Action Task Force) guidelines.
Automates compliance reporting, including Suspicious Activity Reports (SARs) and Currency Transaction Reports (CTRs).

Real-time fraud detection system

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Uses AI and machine learning models for predictive fraud analysis and behavioral anomaly detection.
Supports card-based and digital transactions (e.g., online payments, mobile banking).
Immediate response triggers to suspicious transactions (e.g., temporary account holds, notifications to customers and the bank).

Risk scoring and case management

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Generates transaction-specific risk scores based on customer behavior and transaction patterns.
Centralized case management dashboard for investigation and resolution of flagged transactions.

Flexible integration

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Compatible with issuer legacy systems and modern APIs for seamless deployment.
Easily integrates with Network International’s infrastructure and reporting mechanisms.

How It Works:

Data ingestion and monitoring

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Transaction data is ingested from issuer systems in real-time or batch mode.
AMLOCK applies pre-defined rules and dynamic thresholds to screen transactions.

Risk analysis and fraud detection

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Machine learning algorithms analyze transactional behavior and flag anomalies.
A comprehensive risk score is assigned to each transaction.
Fraudulent or suspicious activities trigger real-time alerts and customizable workflows.

Regulatory reporting

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Automated generation and submission of SARs and CTRs to regulatory bodies.
On-demand compliance audit trails and MIS reports.

Fraud response and resolution

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Enables quick actions like blocking transactions, notifying customers, and escalating to compliance teams.
Investigations are managed through the case management system for efficient resolution.

Take your next step Ready to start your journey with Network?

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