Adaptive Risk Engine (ARE)

Real-time risk scoring, powered by AI

The scoring core of Paygilant — evaluating every onboarding, login, profile change, and transaction against hundreds of behavior and device signals to deliver instant, intelligent risk decisions, without adding friction.

Sub-50msdecision latency
500+risk signals analyzed
Continuousmodel retraining

Every interaction, scored in real time

Instead of relying on static rules or isolated signals, ARE continuously analyzes behavior, context, and intent — adapting in real time as threats evolve. Six proprietary intelligence sets combine into a single decisioning layer, turning fragmented signals into one trustworthy risk score in milliseconds.

The six intelligence sets

Device DNA

Identifies devices with precision, even when fraudsters attempt to mask or manipulate them.

User Space

Understands the user’s environment and behavior to distinguish trusted users from suspicious ones.

Activity Map

Tracks how users interact with your application and detects abnormal flows or patterns.

Biomarkers

Analyzes behavioral biometrics to differentiate real users from bots and automated attacks.

App Insights

Validates consistency between user identity, device, and application data.

Transaction View

Monitors transaction behavior to detect anomalies in amount, velocity, and intent.

Part of a connected platform

ARE works alongside the rest of Paygilant — connecting signals across users, devices, and channels for end-to-end protection.

Face Verification & LivenessAML & Sanctions ScreeningFraud Management Portal

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