Clari5 Inbound Monitoring & Scam Detection Solution
Protect your bank against money mules by monitoring inbound frauds and grow with the trust of your customers
CLARI5 INBOUND MONITORING & SCAM DETECTION SOLUTION
Clari5 offers its machine-learning powered Inbound Monitoring & Scan Detection Solution to help banks detect money mules by monitoring inbound transactions in a customer’s account. It ensures that for each customer account, all inbound transactions are reviewed and anomalies from the usual behavior are detected and flagged off to the investigation teams. By monitoring both inbound and outbound transactions, and the corresponding financial and non-financial events, it ensures a safe environment for genuine banking customers. It delivers intelligence powered by Machine Learning Models for better detection and to reduce false positives. It is equipped with a graphical intelligence tool to assist banks in investigating money flow patterns and hidden linkages.
- Real-time cross channel fraud detection solution
- AI / ML enabled scenario engine for detection
- False-positive reduction using AI models
- Geographical analysis based on demographic attributes to detect crime rings
- Transactional Link Analysis
- Capability to model the behavioral patterns of the customers
- Detects both inbound and outbound transactions
- Detects both financial & non-financial transactions
Machine Learning Enabled Detection: Our Machine Learning models optimized for Mule Account Detection are running at large banks consuming billions of data points across their core systems.
Real-time Capabilities: Our engine runs on a real-time basis monitoring all 360 degrees of transactions and activities like payments, PIN changes, balance enquiries etc.
Scalable Solution: Our engine has been benchmarked to handle volumetrics upwards of 4500 transactions per second (TPS) to make it a truly scalable solution for banks to handle mule account related volumes.