Adaptive Machine Learning. Advanced Analytics.
Automatically identify and categorize different types of fraud and abuse. Combine results with granular risk-based detection scores to trigger the correct action or authentication against each account.
View detailed detection reasons generated by our proprietary engine to understand in full detail how each instance of fraud or abuse was committed.
Review detailed activity and detection history for each account or user. Discover clusters of linked accounts and make accurate bulk decisions to save time. Analyze the latest fraud trends with customized reports and dashboards.
Efficient and effective fraud strategies
Proactive Risk Strategy
Automated Review and Alert Management
Holistic Data Analysis
Uncover Complex Connections Across Millions of Accounts
Identify sophisticated correlations through deep dives into account details provided at the point of application or registration, such as email, phone number, physical address, and biometric data.
Investigate potential relationships between multiple accounts through advanced analysis of interactions, transactions, and access patterns, and reveal cleverly disguised commonalities that could indicate coordinated fraud.
Content and Metadata
Analyze text, images, and other types of user content—such as posts, listings, messages, comments, profile photos, call records, chat logs, and more—to vet the legitimacy of any given account.
Behaviours and Activities
Gain actionable insights into account histories by analyzing volume, velocity, and timing signals from login events, transactions, content posts. and other relevant activity.
Detect fraudulent activity by aggregating digital information logged during account access sessions, including device ID, device type, version and OS, user agent, IP address, GPS location, and more.