Effectiv

AI/ML Model Library: Detect Model

Immediate, data-driven insights without needing historical data, ideal for institutions looking for an out-of-the-box machine learning model to deploy on day one.

AI/ML Model Library: GraphIntel Model

Transforms data entities into a dynamic network graph, useful for identifying fraud rings and suspicious data points throughout the entire network.

AI/ML Model Library: Shield Model

Continuously improving risk data, trained on your customer's transaction history, leveraging advanced feature engineering, statistical analysis, and automated model training.

DeviceIntel

Key Features & Capabilities: - Device & Behavioral Fingerprinting: Establish a unique fingerprint for each device, leveraging elements such as operating system, device data, and advanced patterns for unparalleled identification of suspicious devices & user behavior. - Machine Learning-Based Adaptation: Our model continuously learns from each interaction, refining its understanding of 'normal' behavior and enhancing its ability to detect outliers indicative of fraud. - Multi-Layer Security: DeviceAI combines the power of device intelligence and behavioral telemetry to work in tandem, providing a multi-layered approach to security that reduces the risk of single-point security failures. - Intuitive Risk Scoring: Analyze a variety of elements, from device attributes to telemetric patterns, to quantify the risk level of each transaction, allowing swift and proactive responses to potential threats.

Effectiv Fraud & Risk Management Platform: AML Transaction Monitoring

Stay Compliant With AML Transaction Monitoring

Effectiv Fraud & Risk Management Platform: Business Onboarding

Eliminate Manual Business Verification, Adverse Media Checks & UBO

Effectiv Fraud & Risk Management Platform: Customer Onboarding

Onboard New Customers with Automated KYC and Identity Verification

Effectiv Fraud & Risk Management Platform: Payment Fraud Detection

Prevent Payment Fraud in Real-Time