Risk Scoring

Risk Scoring

Proactive threat detection with
Risk Scoring

Define the out of the box signals that are triggered to ensure false positives are avoided

We care about your data in our privacy policy.

100,000+

Signals analysed

98%

Accuracy in data points

500+

Total data points

Device Fingerprint

Detect anomalies, in a flash

Powerful and precise device analytics tool that understands user intent to help you prevent account based fraud.

Real time data monitoring

Vigilant critical signal detection models that have sub millisecond response latency

Validate the quality of the data

Balance the weight of each rule

Smooth custome journey

Automation of scoring process

Assign accurate risk scores to events as soon as the specific signals are triggered

Granular level customisation

Choose from over 200+ parameters

Eliminate the manual review process

Uncover digital identities

Detecting returning users becomes necessary during risk mitigation because it helps in mitigating fraud.

Creates tokens and hashes

Assign user profiles

Trigger authentications in case of anomalies

Built for the open source, to generate
highly accurate visitor identifiers