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Grand Central fraud detection connectors integrate with leading fraud prevention vendors to protect your banking operations and customers. These connectors use advanced technologies, including behavioral biometrics, AI, and machine learning, to detect and proactively block fraudulent activities in real time. Financial institutions can implement comprehensive fraud prevention strategies across multiple touchpoints, from account takeover detection to account takeover prevention and payment protection.

Core functionalities

Account takeover prevention

Detect and prevent unauthorized access to customer accounts through behavioral analysis.

Payment monitoring

Closely monitor end-user payment behavior to block identified fraud and trigger step-up authentication when transactions appear suspicious.

Behavioral biometrics

Analyze unique physical and cognitive digital behavior patterns.

Device intelligence

Collect and analyze device information and location data for risk assessment.

Use cases coverage

Account takeover prevention

FeatureKey capabilities
Biometric profilingEstablish baseline profiles for legitimate users based on human unique behavioral patterns.
Anomaly detectionIdentify deviations from normal user behavior patterns in real time.
Risk-based actionsTrigger step-up authentication or block user access based on calculated risk scores and associated decision flags.
Session monitoringContinuous monitoring from login to logout for suspicious activity.

Protect against fraudulent account opening

FeatureKey capabilities
Network and device analysisAnalyze network and device information to evaluate whether the session is genuine or fraudulent.
Anomaly detectionIdentify deviations from normal user behavior patterns in real time.
Risk-based actionsTerminate early user onboarding based on calculated risk scores and associated decision flags.

Device and location intelligence

FeatureKey capabilities
Device recognitionIdentify known vs. unknown devices accessing accounts.
Location trackingDetect unusual geographic locations and impossible travel scenarios.
IP analysisMonitor for suspicious IP addresses, VPN usage, and proxy detection.
Browser fingerprintingAnalyze browser type, version, and settings for anomalies.

Risk scoring

FeatureKey capabilities
BioCatch risk scoresScale of 0-1000 indicating likelihood of fraudulent account takeover.
Feedzai Level of AssuranceLOA-based scoring (Low, Substantial, High, Block) for risk decisions based on Feedzai score scale of 0-100
Threshold configurationCustomize score thresholds according to your risk team strategy.
Automated actionsStep-up auth and account blocking based on scores and decision flags.
By using the Grand Central Unified API, your infrastructure interacts with fraud detection systems through standardized interfaces, which simplifies integration and reduces development effort.

Available fraud detection connectors

Feedzai

AI-powered fraud detection and risk management using machine learning for real-time risk assessment.

BioCatch

Behavioral biometrics platform for account takeover fraud prevention with continuous session monitoring.

Cardbase

Debit and credit card management with fraud prevention capabilities for card lifecycle security.