Fraud detection domain

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

Feature	Key capabilities
Biometric profiling	Establish baseline profiles for legitimate users based on human unique behavioral patterns.
Anomaly detection	Identify deviations from normal user behavior patterns in real time.
Risk-based actions	Trigger step-up authentication or block user access based on calculated risk scores and associated decision flags.
Session monitoring	Continuous monitoring from login to logout for suspicious activity.

Protect against fraudulent account opening

Feature	Key capabilities
Network and device analysis	Analyze network and device information to evaluate whether the session is genuine or fraudulent.
Anomaly detection	Identify deviations from normal user behavior patterns in real time.
Risk-based actions	Terminate early user onboarding based on calculated risk scores and associated decision flags.

Device and location intelligence

Feature	Key capabilities
Device recognition	Identify known vs. unknown devices accessing accounts.
Location tracking	Detect unusual geographic locations and impossible travel scenarios.
IP analysis	Monitor for suspicious IP addresses, VPN usage, and proxy detection.
Browser fingerprinting	Analyze browser type, version, and settings for anomalies.

Risk scoring

Feature	Key capabilities
BioCatch risk scores	Scale of 0-1000 indicating likelihood of fraudulent account takeover.
Feedzai Level of Assurance	LOA-based scoring (Low, Substantial, High, Block) for risk decisions based on Feedzai score scale of 0-100
Threshold configuration	Customize score thresholds according to your risk team strategy.
Automated actions	Step-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.

Overview

Grand Central connectors

Release notes

Core functionalities

Account takeover prevention

Payment monitoring

Behavioral biometrics

Device intelligence

Use cases coverage

Account takeover prevention

Protect against fraudulent account opening

Device and location intelligence

Risk scoring

Available fraud detection connectors

Feedzai

BioCatch

​Core functionalities

Account takeover prevention

Payment monitoring

Behavioral biometrics

Device intelligence

​Use cases coverage

​Account takeover prevention

​Protect against fraudulent account opening

​Device and location intelligence

​Risk scoring

​Available fraud detection connectors

Feedzai

BioCatch

Core functionalities

Use cases coverage

Account takeover prevention

Protect against fraudulent account opening

Device and location intelligence

Risk scoring

Available fraud detection connectors