Overview
Grand Central fraud detection connectors integrate with leading fraud prevention platforms to protect your banking operations and customers. These connectors leverage advanced technologies including behavioral biometrics, AI, and machine learning to detect and prevent fraudulent activities in real-time. Financial organizations can implement comprehensive fraud prevention strategies across multiple touchpoints, from account takeover detection to transaction monitoring and card fraud prevention.Available Fraud Connectors
BioCatch
Behavioral biometrics platform for account takeover fraud prevention. BioCatch analyzes unique physical and cognitive digital behavior during online sessions to detect unauthorized access attempts. Key capabilities:- Behavioral biometric analysis (typing patterns, mouse movements, swipes, taps)
- Risk scoring (0-1000) for account takeover likelihood
- Device and location intelligence
- Real-time monitoring from login to logout
Feedzai
AI-powered fraud detection and risk management platform using machine learning to assess user activity and generate instant risk scores. Key capabilities:- Real-time behavioral and device intelligence data collection
- AI and machine learning risk assessment
- Detection of botnets, RATs, and unusual behavior patterns
- Device intelligence (unknown devices, unusual locations, VPN usage)
- Level of Assurance (LOA) based risk scoring
CardBase
Debit and credit card management system supporting card onboarding and servicing with fraud prevention capabilities. Key capabilities:- Card number generation for credit, debit, prepaid, and virtual cards
- New card device creation and activation
- Card-to-account linking
- Card lifecycle management
- Integration with FIS Payments One Debit Suite
Key Features
Real-Time Fraud Detection
- Instant risk scoring: Generate risk scores in real-time during user sessions
- Behavioral analysis: Monitor and analyze user behavior patterns continuously
- Device intelligence: Collect and analyze device information and location data
- Machine learning models: Leverage AI to detect sophisticated fraud patterns
Account Takeover Prevention
- Biometric profiling: Establish baseline profiles for legitimate users
- Anomaly detection: Identify deviations from normal user behavior
- Risk-based authentication: Trigger step-up authentication based on risk scores
- Session monitoring: Continuous monitoring from login to logout
Transaction Monitoring
- Real-time assessment: Evaluate every transaction for potential fraud
- Comprehensive data analysis: Combine behavioral, device, and location data
- Configurable thresholds: Set risk score thresholds based on risk appetite
- Automated responses: Configure automated actions based on risk levels
Card Fraud Prevention
- Secure card issuance: Generate valid card numbers with proper validation
- Lifecycle tracking: Monitor card usage throughout its lifecycle
- Integration capabilities: Seamless integration with card management systems
Use Cases
Account Takeover Prevention
Detect and prevent unauthorized access to customer accounts by analyzing behavioral patterns and device information in real-time.Payment Fraud Detection
Assess the risk of each payment transaction using behavioral data and device intelligence to prevent fraudulent payments.New Account Fraud Screening
Evaluate new account applications for potential fraud during the onboarding process.Transaction Monitoring
Monitor all transactions for suspicious patterns and automatically trigger appropriate responses.Card Fraud Prevention
Secure card issuance, activation, and usage through comprehensive card management and monitoring.Risk Assessment Models
BioCatch Risk Scores
- Range: 0-1000
- 0: Lowest likelihood of fraudulent account takeover
- 1000: Highest likelihood of fraudulent account takeover
- Trigger actions: Step-up authentication, temporary account blocking based on thresholds
Feedzai Level of Assurance (LOA)
- LOA Low: Allow user to proceed with activity
- LOA Substantial: Enable additional authorization and authentication
- LOA High: Recommended additional authorization and authentication
- Block: High risk - recommended to stop user from proceeding
Integration Benefits
- Unified API: Consistent interface across fraud detection connectors using Grand Central Unified API Specification
- Real-time protection: Immediate fraud detection and prevention
- Configurable thresholds: Adapt risk levels to your institution’s risk appetite
- Automated responses: Configure automated actions based on risk scores
- Comprehensive coverage: Protection across multiple fraud vectors
- Scalable solution: Handle high-volume fraud analysis with minimal effort
- Compliance ready: Support for regulatory requirements (AML, KYC)
- BIAN compliance: Standardized security interactions based on BIAN framework