Scam Detection & Prevention Solutions
Stop Scam Losses, Build Customer Trust, Protect Revenue
Identify signs of customer manipulation and coercion with Feedzai’s ScamPrevent™. Elevate your scam prevention.
Catch Scams, Stop Losses, Protect Customers
Catch More Scams
Prevent authorized scam losses by monitoring customer behavior for suspicious activity.
Out-of-the-Box Models
Access scam detection models trained on large volumes of historical data to detect scam activity and reduce losses.
Silent Customer Protection
Keep your customers safe from making authorized fraud transfers without disrupting their journey.
Trusted by global financial leaders
Stay Ahead of Changing Scam Threats
Deploy Battle-tested Detection Models
Access ready-to-use best-practice scam detection models and rules trained using hundreds of features from known scam activity designed to reduce financial losses
Customize Models to Your Needs
Craft score thresholds and workflows best-suited to your unique needs. Perform rule simulation, model validation, and comparison in days, not weeks, before model changes are deployed.
3-in-1 Silent Customer Protection
Authenticate every interaction and transaction in real-time, using a combination of transactional analytics, behavioral biometrics, and device intelligence—without disrupting the customer journey.
Empower Customers to Stop Scams Themselves
Equip your customers with the ability to assess the legitimacy of a payment request that starts outside of the banking app. Feedzai’s new GenAI agent, ScamAlert, makes it simple.
One Unified Platform for Comprehensive and Cost-Effective Scam Prevention
Know Your Users
Use out-of-the-box risk strategies to detect use of automation tools and bots. Eliminate unnecessary third-party identity verification costs downstream.
Know Your Users
Use out-of-the-box risk strategies to detect use of automation tools and bots. Eliminate unnecessary third-party identity verification costs downstream.
Protect Your Customers
Continuously review behavioral, device, and threat data combined with activity and transactional information to update risk levels and respond to customer duress.
Protect Your Customers
Continuously review behavioral, device, and threat data combined with activity and transactional information to update risk levels and respond to customer duress.
Respond to Scam Trends
Quickly react to new threats by identifying patterns with less time spent effort adjusting models by analysts.
Respond to Scam Trends
Quickly react to new threats by identifying patterns with less time spent effort adjusting models by analysts.
Access Industry Insights
Access lessons from multiple customers to prevent a wide range of impersonation and misrepresentation scams.
Access Industry Insights
Access lessons from multiple customers to prevent a wide range of impersonation and misrepresentation scams.
Frequently Asked Questions
How do the scam detection and prevention solutions work?
Feedzai’s scam detection uses behavioral biometrics, real-time transaction analysis to identify coercion or suspicious activity. It monitors user sessions, flags anomalies, and triggers real-time interventions like step-up authentication or payment delays.This helps stop scams before funds leave the victim’s account.
What behavioural signals does Feedzai look for to detect scams?
Feedzai monitors active calls during incoming and outgoing payments, identifies Remote Access Tools (RATs), tracks unusually long sessions, and uses Active Defense to block risky activity. DT uses behavior analysis, device scanning, and session timing to spot scams. Active Defense can end sessions automatically to protect users during suspicious behavior.
What scam detection and prevention fraud AI features are offered?
Feedzai’s AI leverages transactional, biometric, and other data to build a 360-degree baseline of each customer’s banking behavior, enabling the most accurate identification of anomalies and scam related behaviour. Feedzai also offers Feedzai IQ TrustScore, an AI-powered risk score that leverages real-time, network-wide intelligence to assess scams.
How does Feedzai educate or warn customers about potential scams in real time?
Feedzai enables FIs to intervene based on risk signals. Using these, FIs can configure in-session alerts during risky transactions, communicate messages to educate users about common scams. It may trigger step-up authentication or delay transactions to prevent losses. Interventions are personalized based on behavior, disrupting scams before money is sent.
What’s the difference between scam prevention and traditional fraud detection?
Scam prevention focuses on stopping fraud where the victim is tricked into authorizing the payment, often through social engineering. Traditional fraud detection targets unauthorized transactions by third parties. Scam prevention requires behavioral analysis and real-time user engagement, while traditional fraud relies more on pattern recognition.
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