Device DNA
Identify devices with precision — even when fraudsters attempt to mask, spoof, or manipulate them.
The real-time AI core of Paygilant — evaluating every user action across behavior, device, and context to deliver instant, intelligent fraud decisions in milliseconds.
The engine correlates hundreds of signals across six intelligence dimensions — building a living, contextual picture of every user, device, and interaction.
Identify devices with precision — even when fraudsters attempt to mask, spoof, or manipulate them.
Understand the user’s environment and behavior to distinguish trusted users from suspicious ones.
Track how users interact with your application and detect abnormal flows or patterns.
Analyze behavioral biometrics to differentiate real users from bots and automated attacks.
Validate consistency between user identity, device, and application data.
Monitor transaction behavior to detect anomalies in amount, velocity, and intent.
From registration to cash-out, the Adaptive Risk Engine turns every interaction into a real-time decision point — five steps that repeat on every action.
Every user action — onboarding, login, profile change, or transaction — streams hundreds of behavioral, device, and contextual signals into the engine.
Signals are fused across the six intelligence dimensions and connected across sessions, devices, and channels to reveal the true story behind each interaction.
Machine-learning models weigh behavior, context, and intent to produce a real-time risk score in under 50 milliseconds — no static rules required.
The engine returns an instant, explainable decision — approve, challenge, or block — so fraud is stopped before money moves, with minimal friction for good users.
Models continuously retrain on new outcomes, so detection sharpens automatically as fraud patterns evolve — without manual rule maintenance.
Give every user action an instant, intelligent decision. Talk to our experts about deploying Paygilant’s real-time risk engine across your digital journey.