Settings
Configure your Signal Lens dashboard and API connection
API Configuration
Connection Status
System Information
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Risk Factors Contribution
Weight percentages used by the fraud detection engine to calculate risk scores
Jailbroken Device
50%Device security compromise detected
VPN Detection
40%Virtual Private Network usage detected
Emulator Detection
40%Device running on emulator/simulator
Proxy Detection
30%Network proxy usage detected
DNS Hijacking
25%Modified DNS configuration detected
Debugger Detection
20%Development/debugging tools attached
Network Anomalies
15%Suspicious network behavior patterns
Roaming Status
10%Device roaming outside home network
Timezone Spoofing
40%Rapid timezone changes detected
Isolation Forest
20%Statistical anomaly detection algorithm
Pattern Analysis
15%K-means clustering pattern detection
KNN Outlier Detection
15%K-nearest neighbors outlier analysis
Distance-Based Detection
10%Percentile-based distance analysis
Rule Engine
20%Expert system rule evaluation
Saudi Arabia Compliance
20%Geographic compliance validation
Understanding Risk Scores
Multiple factors can be triggered simultaneously, and the fraud detection engine uses advanced algorithms to combine their contributions into a final risk score.