Support throughout the entire user’s lifecycle

Omnichannel risk detection

Our product detects risks across all channels—including all browsers and mobile devices (iOS & Android)—at each stage of the user lifecycle.

Bot detection

Our product easily differentiates between human and non-human visitors, preventing the latter from entering and creating false traffic on your platform.

Digital fingerprinting and identity verification

At the registration stage, we use digital fingerprinting to confirm the users and detect any fraud attempts (e.g. promo abuse by collecting a discount for newly registered users) or bots trying to create fake accounts. We also enable identity verification and KYC & AML checks, as we have access to multiple online document verification providers and PEP/sanction lists, all via a single API.

Decision engine and ML models for fraud prevention

We use machine learning (ML) models to analyze complex and extensive data about your users. In real-time, we provide simple, actionable recommendations (reject/review/accept) for your risk management team. The decision engine puts the power in your hands, as we made it fully configurable so you can create any rule within our system. 

Digital fingerprinting to stop reseller abuse

Omnichannel fraud prevention

No matter where the transactions happen - desktop browsers or Android & iOS devices - we will be there to prevent fraudulent behavior. We detect bots and social engineering fraud, allowing you to distinguish between legitimate and fraudulent transactions.

Real-time chargeback alerts

Minimize chargebacks, reduce friendly fraud, and keep costs down with our early notification alerts. We leverage your feedback to better understand your disputes and become more precise at transaction screening.