SymphonyAI's Payment Fraud product addresses the complexities of increased payment volumes, sophisticated fraud schemes, cross-channel fraud, and identity theft by providing a comprehensive risk management system. The solution integrates seamlessly with an organization's payment ecosystem and utilizes both customer-driven and machine-learning (ML) models to detect and prevent fraud. It can be operational within twelve weeks.
Key features include:

• Real-Time Fraud Detection: Detects and prevents fraud in real-time with low latency, reducing fraud losses significantly across multiple channels and payment types.
• Holistic Risk View: Shares risk and case information across fraud, risk, and compliance functions to provide a complete risk profile associated with each payment method.
• End-to-End Investigations: Integrates with the Sensa Investigation Hub, leveraging a generative AI-powered platform for a single, entity-centric view of risk, covering AML, sanctions, KYC/CDD, and fraud.
• Pre-Packaged Fraud Rules and Models: Offers a library of out-of-the-box ML models and configurable components for fraud management, including data acquisition, detection, investigation, real-time response, and reporting.
• Entity-Based Risk Evaluation: Provides a comprehensive view of risk signals associated with entities, ensuring a proactive risk management approach across multiple channels.

Notable outcomes:

• <50ms detection and scoring latency.
• 55% reduction in false positives.
• 4x increase in fraud detection using machine learning.
• 69% reduction in fraud losses.

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