Ogow API

Fraud Prevention

Deter, detect, and deny fraudsters with a proactive, multi-layered approach

Protect Your Business from Evolving Fraud Threats

As digital transactions increase, so do the sophistication and frequency of fraud attempts. Traditional fraud prevention methods often create friction for legitimate users while still leaving vulnerabilities for fraudsters to exploit.

Ogow API's fraud prevention solutions use advanced technology to detect and prevent fraud in real-time, while maintaining a seamless experience for legitimate users. Our specialized focus on the Horn of Africa region provides unmatched accuracy for detecting fraud involving Somali identity documents.

Key Benefits

  • Reduce fraud losses by up to 90%
  • Minimize false positives that frustrate legitimate users
  • Detect sophisticated fraud attempts in real-time
  • Adapt to evolving fraud patterns automatically
  • Specialized detection for region-specific fraud techniques

Multi-Layered Fraud Prevention

Document Fraud Detection

Detect forged, altered, or counterfeit identity documents with advanced computer vision and machine learning technology that identifies inconsistencies invisible to the human eye.

  • Detection of digital and physical tampering
  • Verification of security features
  • Cross-validation of extracted data
Document Fraud Detection
Biometric Anti-Spoofing

Biometric Anti-Spoofing

Prevent impersonation attempts with advanced liveness detection and anti-spoofing technology that ensures the person is physically present and not using photos, videos, or masks.

  • Active and passive liveness detection
  • Detection of photos, videos, and 3D masks
  • Continuous improvement through machine learning

Behavioral Analysis

Identify suspicious patterns and anomalies in user behavior that may indicate fraud attempts, without adding friction to the user experience.

  • Device fingerprinting and risk assessment
  • Velocity checks and pattern recognition
  • Machine learning models trained on regional data
Behavioral Analysis
Adaptive Risk Scoring

Adaptive Risk Scoring

Our dynamic risk scoring system combines multiple signals to assess the likelihood of fraud in real-time, allowing you to take appropriate action based on risk level.

  • Customizable risk thresholds
  • Continuous learning from outcomes
  • Detailed risk factors for manual review

Case Study: Hormuud Telecom

Challenge

Hormuud was experiencing high rates of account takeover and synthetic identity fraud in their mobile money service.

Solution

Implemented Ogow API's multi-layered fraud prevention with document verification, biometric authentication, and behavioral analysis.

Results

Reduced fraud losses by 85% while decreasing false positives by 60%, leading to improved customer satisfaction.

FM

"The API is incredibly easy to integrate and the accuracy of the fraud detection is unmatched. It's been a game-changer for our mobile money platform."

Fartun Mohamed, Head of Digital, Hormuud

Fraud Types We Detect

Identity Theft

Using stolen personal information to open accounts or make transactions

Document Forgery

Using altered or counterfeit identity documents

Account Takeover

Unauthorized access to existing accounts

Synthetic Identity

Creating fictitious identities using a mix of real and fake information

Money Laundering

Disguising illegally obtained funds as legitimate

Application Fraud

Providing false information on applications

Ready to Strengthen Your Fraud Defenses?

Join the growing number of businesses using Ogow API to protect against fraud while providing a seamless customer experience.