What it offers
Internal and external data monitoring
RHDFM collects and monitors data from various sources and correlates the data to detect patterns indicative of fraud, such as rapid transfers or unusual geographical activity. By identifying accounts likely involved in fraudulent schemes, RHDFM helps you take preventive actions, such as freezing suspicious accounts or stopping transactions.
Anti-phishing and Money Mule management
RHDFM pays extra attention to the most common fraud scenario: money mules and phishing. It provides consistent monitoring and proactive detection to quickly identify and stop money mules and phishers from entering your system — like a well-trained watchdog keeping you or your customers safe from intruders.
Thorough analytics and re-analysis
RHDFM evaluates the effectiveness of existing anti-fraud models and tracks key performance indicators (KPIs) related to fraud detection and prevention, such as the number of fraud cases prevented. But it doesn’t leave it at that. It also develops new fraud detection models based on identified patterns and trains these models using historical data to improve their accuracy and effectiveness.
For anti-fraud efforts to be effective and work on your behalf, they need to continually reanalyze data to adapt strategies to evolving fraud techniques. RHDFM does that, too. All assessment and investigative tasks support your rock-solid customer relationships, keeping them professional and compliant.
Smart reporting for everyone
RHDFM creates detailed reports for different audiences and purposes: High-level summaries for senior leadership to understand the overall performance; thorough, practical reports for teams involved in day-to-day fraud prevention; and in-depth examinations of individual fraud cases to understand methods used, identify weaknesses, and improve future responses.
