DeepID’s Anti-Fraud Risk and Policy Engine evaluates user actions by analyzing multiple signals and enforcing predefined fraud policies. It uses device intelligence, fingerprinting, and risk scoring to detect fraudulent behavior.

This solution helps businesses differentiate between an actual user and a fraudulent user. It easily detects suspicious activities like abnormal behavior patterns, repeated failures, high-risk scores, and policy violations.

Key Features

• Real-Time Fraud Detection: The Anti-Fraud Risk and Policy engine continuously monitors in-app activities to identify fraud, abuse, and suspicious behaviour instantly.
• Behaviour Analytics: It thouroughly analyse behaviour patterns of users that helps in detecting anomalies.
• Automated Risk Scoring: This smart engine generates risk scores for users and devices to identify high-risk activities in real time.
• Centralized Fraud Intelligence Dashboard: It offers a unified dashboard with real-time alerts, reports, and fraud insights.