Oracle AML and Financial Crime Compliance Management—Transaction Monitoring

Advanced transaction monitoring

Automated, comprehensive, and consistent surveillance of all accounts, customers, correspondents, and third parties in transactions across all business lines.

• Enterprise-wide risk-based monitoring, investigations, and reporting for suspicious activities
• Industry-leading, comprehensive transparent behavior detection library
• Extensive library of data quality rule checks

An enterprise-wide view of fraudulent transactions

• Single, integrated fraud-management platform
• Event identification and correlation across the enterprise
• Intelligent alert correlation from point fraud solutions
• Real-time monitoring and interdiction capabilities
• Pre-built scenarios and detection techniques

Support multijurisdictional monitoring

• Detects different forms of data within financial transactions across business lines
• Proprietary algorithms minimize false positives without compromising screening accuracy
• Manages and maintains multiple global and custom watch lists
• Generic translator supports new message formats for screening

Improve investigation efficiency

Apply the latest advancements in machine learning to reduce false positives and prioritize alerts for investigation.

• Integrated workflow for creating, testing, and operationalizing models
• Measures the efficiency of models by comparing scores with historical data
• User-friendly browser interface, preconfigured for AML domain and read to use
• Provides transparent regulatory and management reporting for compliance
• Works seamlessly with existing systems

Optimize transaction monitoring performance

Use Oracle Financial Services Compliance Agent, an AI-powered SaaS experimentation platform, to evaluate the limitations of and opportunities in your transaction monitoring system.

• Run experiments to evaluate hypotheses on scenarios, thresholds, or controls without using historical data.
• Rely on metrics that capture the holistic performance of the system and performance against risk typologies.
• Use an AI virtual money launder to reveal the transaction monitoring system’s real strength.
• Get recommendations on scenarios and thresholds to optimize the system.