Purpose: application fraud detection and prevention
Banks need Scorto™ Fraud Barrier:
Identify fraudsters as early as possible
Automatically check against internal and external blacklists
Reduce operational costs by automation
Detect sophisticated fraudsters with advanced analytics
Constantly improve your fraud detection methods
Reduce serious fraud losses and write-offs generated by fraudulent applicants to the minimum
Bad debts, as well as collection and recovery costs, can be reduced by avoiding overrated risk segment assignment for unfair applicants who put false information in application
Fraud identification should not compromise customer service and speed of decision making
Concept and Key Tasks
Setting and adjusting custom fraud-detection rules and policies
Easy integration of any data sources for data verification and checks (blacklists, credit bureau info, etc.)
Developing custom fraud detection scenarios based on the rules
Investigating suspicious cases, analyzing application assessment results and making decisions
Eliminating fraud through predictive modeling and scoring
Automation of fraud detection and investigation workflows and decision flows
Value Proposition
Easy to manage user interfaces for minimal resource requirements and operational expenses
Incredibly intuitive and easy to use
Proven to eliminate fraudulent activity (and ultimately bad debts)
No limit in terms of number of users, or number decision/workflows
Use of various technologies (such as AI) enable the tool to be self-learning
Automatically assigns cases for investigation and assigns score based on likelihood of Fraud
Examples of Industries and Applications:
Banking & Finance:
Elimination of Application Fraud
Targeting of Identity Theft
Identifying Internal Fraud
Insurance:
Identifying of application fraud
Identification of claims fraud
Tracking of legal actions and assignment to debt recovery
Public sector
Identification of potential law-breaking activities (violation of corruption laws, etc.)