Fraud Moves Fast.
Your Defense Should Move Faster.
Protects your entire customer journey without adding friction. Grow your business without growing your risk.
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Your Business isn't Average. Your Fraud Model Shouldn't be Either.
Risk scoring
Measure and score risk in real time by synthesizing behavioral patterns, IP reputation, and device signals into a single score — processed in milliseconds.
Behavioural biometrics
Behavioral biometrics analyzes the unique way a person interacts with a device — how they type, swipe, move a cursor. These patterns are difficult to replicate, even with stolen credentials.
Manual review tool
A centralized review dashboard surfaces every relevant signal in one place. Admins can assess, escalate, or clear cases with confidence, without switching between systems or working from incomplete information.
Adaptive automation
The system continuously learns from new data, adjusting its own detection logic as fraud tactics shift — no rules to write, no thresholds to tune, no lag between a new attack pattern and the response to it.
Know your customers from the moment they arrive.
Most fraud detection starts at checkout — by then, it's already too late. UrbanFox begins building a trust profile from the moment a user logs in, distinguishing genuine customers from fraudsters before a single transaction is made.
Protect the experience that keeps customers coming back.
False declines carry a cost that extends beyond the lost transaction. UrbanFox's precision detection maintains exceptionally low false decline rates, ensuring legitimate customers experience no unnecessary friction at any stage of their journey.
Maximize the return on every promotion you run.
Promotional abuse silently drains marketing budgets, rewarding fraudsters instead of loyal customers. We identify abusive behavior before a promotion is redeemed, ensuring your campaigns deliver the return they were designed for.
Our approach
The Technology That Learns Faster Than Fraudsters
Our multi-agent reinforcement learning simulates thousands of fraud strategies in real time. Behind every detection is a system that plays out thousands of fraud scenarios at once, learning how attackers adapt before they even try.
Learn more about Multi-agent reinforcement learning →