Enterprise-Grade Fraud Prevention Platform
Real-time risk intelligence across device, network, location, and behaviour — protecting millions of devices every day.
Device Intelligence
Location Analysis
Behavioural Biometrics
Network Context
Before Bureau
Siloed checks. Static rules. Reactive fraud detection.
Unified Intelligence Layer
Signals are captured across four intelligence dimensions — converging into a unified risk profile
Device Intelligence
Persistent device fingerprint
New vs known device
Device reused across users
App integrity risk
Suspicious / sideloaded apps
Special permissions enabled
Accessibility service misuse
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Location Intelligence
Latitude / longitude
IP vs GPS mismatch
VPN / proxy detection
Location velocity anomalies
Impossible travel patterns
Behavioural Biometrics
Typing rhythm deviation
Gesture inconsistency
Navigation anomalies
Hesitation vs confidence
Unusual session duration
Network Context
Device fingerprint hash
Network node rings
Network link analysis
User ID linkage
IP reputation
Fraud Modus Operandi
Detect and prevent the most prevalent fraud patterns in real time
Account Takeover (ATO)
Unauthorized account access driven by device risk, behavioural deviation, and network anomalies
Social Engineering Scams
Victim-initiated fraud detected using behavioural confidence and session analytics
Mule Detection (Link Analysis)
Hidden account networks detected using device reuse and velocity patterns
See It In Action
Walk through fraud scenarios with signal detection, risk scoring, and decision orchestration.
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